stock price prediction pickle.ipynb

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     "status": "ok",
     "timestamp": 1623952080760,
     "user": {
      "displayName": "abhishek sharma",
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      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "NjRhJ-573r8g"
   },
   "outputs": [],
   "source": [
    "import pandas as pd    #importing necessary libraries\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "executionInfo": {
     "elapsed": 583,
     "status": "ok",
     "timestamp": 1623952082348,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "oRsvsMmCqDkV"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "os.chdir(r'/Users/apple/Documents/GitHub/Prediction-of-Stock-Price-Movement-based-on-trading-DS-II/Datasets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 221
    },
    "executionInfo": {
     "elapsed": 801,
     "status": "ok",
     "timestamp": 1623952121782,
     "user": {
      "displayName": "abhishek sharma",
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      "userId": "11200093688168956717"
     },
     "user_tz": 420
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    "id": "A-dRovU43r8m",
    "outputId": "aab6d2d6-7730-4960-e3a1-74f36e18c6ef"
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(22805, 8)\n"
     ]
    },
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     "metadata": {},
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    }
   ],
   "source": [
    "data = pd.read_csv('DataFrame.csv')      #Reading csv file and creating DataFrame\n",
    "print(data.shape)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "executionInfo": {
     "elapsed": 54,
     "status": "ok",
     "timestamp": 1623952121787,
     "user": {
      "displayName": "abhishek sharma",
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      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "FLzCWg_g3r8q"
   },
   "outputs": [],
   "source": [
    "data.drop('Unnamed: 7' , axis = 1 , inplace = True)   #Dropping unnecessary Column:-> Unnamed: 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "executionInfo": {
     "elapsed": 60,
     "status": "ok",
     "timestamp": 1623952121795,
     "user": {
      "displayName": "abhishek sharma",
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      "userId": "11200093688168956717"
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     "user_tz": 420
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    "id": "uCSRAwj_3r8r"
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   "outputs": [],
   "source": [
    "data.rename(columns = str.upper , inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
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    "executionInfo": {
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     "status": "ok",
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     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
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     "user_tz": 420
    },
    "id": "WKlfXbvG3r8s",
    "outputId": "d82f36da-95de-4867-e94d-88d5fac22a49"
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   "outputs": [
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       "      <td>14689.30</td>\n",
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       "      <td>14688.55</td>\n",
       "      <td>14691.30</td>\n",
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       "        TYPE      DATE   TIME      OPEN      HIGH       LOW     CLOSE\n",
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       "4      NIFTY  20210101  09:20  14015.45  14017.80  14011.95  14015.45\n",
       "...      ...       ...    ...       ...       ...       ...       ...\n",
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       "22802  NIFTY  20210331  15:29  14690.30  14694.10  14688.55  14691.30\n",
       "22803  NIFTY  20210331  15:30  14689.85  14693.55  14689.45  14693.05\n",
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     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "VD3JAUN23r8t"
   },
   "source": [
    "# CONVERTING STRING INTO DATE TIME SERIES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "executionInfo": {
     "elapsed": 61,
     "status": "ok",
     "timestamp": 1623952121801,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "O7UfjCPS3r8u"
   },
   "outputs": [],
   "source": [
    "import datetime\n",
    "data['DATE'] = pd.to_datetime(data['DATE'] , format = \"%Y%m%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 61,
     "status": "ok",
     "timestamp": 1623952121803,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "FuvyQBwV3r8v",
    "outputId": "75c960e3-264f-4dc2-f57b-08c146e31a3a"
   },
   "outputs": [
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       "    TYPE       DATE   TIME      OPEN      HIGH       LOW     CLOSE\n",
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       "2  NIFTY 2021-01-01  09:18  14008.05  14013.10  14005.05  14012.70\n",
       "3  NIFTY 2021-01-01  09:19  14013.65  14019.10  14013.65  14016.20\n",
       "4  NIFTY 2021-01-01  09:20  14015.45  14017.80  14011.95  14015.45"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "executionInfo": {
     "elapsed": 606,
     "status": "ok",
     "timestamp": 1623952122353,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "Q0BEaHXq3r8y",
    "outputId": "fa48f26c-6f21-46f5-a4a8-9de2d22753a9"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>22805.000000</td>\n",
       "      <td>22805.000000</td>\n",
       "      <td>22805.000000</td>\n",
       "      <td>22805.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>14703.322396</td>\n",
       "      <td>14707.486481</td>\n",
       "      <td>14699.102201</td>\n",
       "      <td>14703.260816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>391.377498</td>\n",
       "      <td>391.265231</td>\n",
       "      <td>391.551643</td>\n",
       "      <td>391.366248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>13604.750000</td>\n",
       "      <td>13614.400000</td>\n",
       "      <td>13596.750000</td>\n",
       "      <td>13602.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>14462.250000</td>\n",
       "      <td>14465.950000</td>\n",
       "      <td>14458.050000</td>\n",
       "      <td>14461.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>14739.500000</td>\n",
       "      <td>14743.000000</td>\n",
       "      <td>14735.850000</td>\n",
       "      <td>14739.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15037.000000</td>\n",
       "      <td>15041.250000</td>\n",
       "      <td>15032.500000</td>\n",
       "      <td>15036.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>15429.500000</td>\n",
       "      <td>15431.750000</td>\n",
       "      <td>15427.900000</td>\n",
       "      <td>15430.200000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               OPEN          HIGH           LOW         CLOSE\n",
       "count  22805.000000  22805.000000  22805.000000  22805.000000\n",
       "mean   14703.322396  14707.486481  14699.102201  14703.260816\n",
       "std      391.377498    391.265231    391.551643    391.366248\n",
       "min    13604.750000  13614.400000  13596.750000  13602.800000\n",
       "25%    14462.250000  14465.950000  14458.050000  14461.950000\n",
       "50%    14739.500000  14743.000000  14735.850000  14739.450000\n",
       "75%    15037.000000  15041.250000  15032.500000  15036.850000\n",
       "max    15429.500000  15431.750000  15427.900000  15430.200000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()   #Statistics of the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 80,
     "status": "ok",
     "timestamp": 1623952122360,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "uxRDT7K83r8z",
    "outputId": "149681d0-c9a5-4a9b-8c0c-5cf925e977a4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 22805 entries, 0 to 22804\n",
      "Data columns (total 7 columns):\n",
      " #   Column  Non-Null Count  Dtype         \n",
      "---  ------  --------------  -----         \n",
      " 0   TYPE    22805 non-null  object        \n",
      " 1   DATE    22805 non-null  datetime64[ns]\n",
      " 2   TIME    22805 non-null  object        \n",
      " 3   OPEN    22805 non-null  float64       \n",
      " 4   HIGH    22805 non-null  float64       \n",
      " 5   LOW     22805 non-null  float64       \n",
      " 6   CLOSE   22805 non-null  float64       \n",
      "dtypes: datetime64[ns](1), float64(4), object(2)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49
    },
    "executionInfo": {
     "elapsed": 59,
     "status": "ok",
     "timestamp": 1623952122362,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "HHqLZ_m43r81",
    "outputId": "9de5e8f9-3fcf-4cbb-f37f-698081ed9ed5"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TYPE</th>\n",
       "      <th>DATE</th>\n",
       "      <th>TIME</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
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       "  <tbody>\n",
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       "Empty DataFrame\n",
       "Columns: [TYPE, DATE, TIME, OPEN, HIGH, LOW, CLOSE]\n",
       "Index: []"
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     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data.duplicated()]       #Checking for the duplicated entries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cGuTPbTe3r83"
   },
   "source": [
    "# CONSIDERING ANOTHER DATASET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 57,
     "status": "ok",
     "timestamp": 1623952122367,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "p9eZLJhV3r84",
    "outputId": "eb02f260-5128-43b1-9de9-cc6a440617bf"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1986-03-13</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1986-03-14</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1986-03-17</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1986-03-18</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1986-03-19</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Open      High       Low     Close  Adj Close      Volume\n",
       "0  1986-03-13  0.088542  0.101563  0.088542  0.097222   0.061751  1031788800\n",
       "1  1986-03-14  0.097222  0.102431  0.097222  0.100694   0.063956   308160000\n",
       "2  1986-03-17  0.100694  0.103299  0.100694  0.102431   0.065059   133171200\n",
       "3  1986-03-18  0.102431  0.103299  0.098958  0.099826   0.063405    67766400\n",
       "4  1986-03-19  0.099826  0.100694  0.097222  0.098090   0.062302    47894400"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.read_csv('MSFT.csv')\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "msft=df2.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "executionInfo": {
     "elapsed": 56,
     "status": "ok",
     "timestamp": 1623952122369,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "v-s6ikLC3r85"
   },
   "outputs": [],
   "source": [
    "df2.rename(columns = str.upper , inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "executionInfo": {
     "elapsed": 56,
     "status": "ok",
     "timestamp": 1623952122371,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "DWBbzXhK3r85"
   },
   "outputs": [],
   "source": [
    "df2['DATE'] = pd.to_datetime(df2['DATE'] , format = \"%Y-%m-%d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 57,
     "status": "ok",
     "timestamp": 1623952122374,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "5KYU3hn93r86",
    "outputId": "c178209c-86d1-4b95-9e27-5135a537d978"
   },
   "outputs": [
    {
     "data": {
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       "      <th>OPEN</th>\n",
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       "      <th>0</th>\n",
       "      <td>1986-03-13</td>\n",
       "      <td>0.088542</td>\n",
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       "      <td>0.088542</td>\n",
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       "      <td>1986-03-14</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
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       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1986-03-18</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1986-03-19</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        DATE      OPEN      HIGH       LOW     CLOSE  ADJ CLOSE      VOLUME\n",
       "0 1986-03-13  0.088542  0.101563  0.088542  0.097222   0.061751  1031788800\n",
       "1 1986-03-14  0.097222  0.102431  0.097222  0.100694   0.063956   308160000\n",
       "2 1986-03-17  0.100694  0.103299  0.100694  0.102431   0.065059   133171200\n",
       "3 1986-03-18  0.102431  0.103299  0.098958  0.099826   0.063405    67766400\n",
       "4 1986-03-19  0.099826  0.100694  0.097222  0.098090   0.062302    47894400"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49
    },
    "executionInfo": {
     "elapsed": 57,
     "status": "ok",
     "timestamp": 1623952122377,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "Cvr7LE7F3r86",
    "outputId": "f20f814b-1291-40a7-b0dd-49c845be8878"
   },
   "outputs": [
    {
     "data": {
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       "Empty DataFrame\n",
       "Columns: [DATE, OPEN, HIGH, LOW, CLOSE, ADJ CLOSE, VOLUME]\n",
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   "source": [
    "df2[df2.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "executionInfo": {
     "elapsed": 790,
     "status": "ok",
     "timestamp": 1623952123114,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "alpxXG9N3r87",
    "outputId": "522a678c-269c-46e9-9ee3-2ebd2a85941b"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>ADJ CLOSE</th>\n",
       "      <th>VOLUME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8.857000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>34.831233</td>\n",
       "      <td>35.209355</td>\n",
       "      <td>34.449657</td>\n",
       "      <td>34.840895</td>\n",
       "      <td>29.886536</td>\n",
       "      <td>5.953411e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>44.060163</td>\n",
       "      <td>44.513443</td>\n",
       "      <td>43.597704</td>\n",
       "      <td>44.080986</td>\n",
       "      <td>44.195101</td>\n",
       "      <td>3.858121e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.092014</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.090278</td>\n",
       "      <td>0.057340</td>\n",
       "      <td>2.304000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.843750</td>\n",
       "      <td>3.875000</td>\n",
       "      <td>3.812500</td>\n",
       "      <td>3.851563</td>\n",
       "      <td>2.446323</td>\n",
       "      <td>3.559720e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>26.590000</td>\n",
       "      <td>26.879999</td>\n",
       "      <td>26.290001</td>\n",
       "      <td>26.590000</td>\n",
       "      <td>18.686628</td>\n",
       "      <td>5.269680e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>36.730000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>36.110001</td>\n",
       "      <td>36.660000</td>\n",
       "      <td>27.218300</td>\n",
       "      <td>7.339520e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>261.660004</td>\n",
       "      <td>263.190002</td>\n",
       "      <td>260.170013</td>\n",
       "      <td>261.970001</td>\n",
       "      <td>261.970001</td>\n",
       "      <td>1.031789e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              OPEN         HIGH          LOW        CLOSE    ADJ CLOSE  \\\n",
       "count  8857.000000  8857.000000  8857.000000  8857.000000  8857.000000   \n",
       "mean     34.831233    35.209355    34.449657    34.840895    29.886536   \n",
       "std      44.060163    44.513443    43.597704    44.080986    44.195101   \n",
       "min       0.088542     0.092014     0.088542     0.090278     0.057340   \n",
       "25%       3.843750     3.875000     3.812500     3.851563     2.446323   \n",
       "50%      26.590000    26.879999    26.290001    26.590000    18.686628   \n",
       "75%      36.730000    37.000000    36.110001    36.660000    27.218300   \n",
       "max     261.660004   263.190002   260.170013   261.970001   261.970001   \n",
       "\n",
       "             VOLUME  \n",
       "count  8.857000e+03  \n",
       "mean   5.953411e+07  \n",
       "std    3.858121e+07  \n",
       "min    2.304000e+06  \n",
       "25%    3.559720e+07  \n",
       "50%    5.269680e+07  \n",
       "75%    7.339520e+07  \n",
       "max    1.031789e+09  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 80,
     "status": "ok",
     "timestamp": 1623952123116,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "n3Epkzcx3r88",
    "outputId": "b03fc3fb-f2af-4217-b320-ac70c8dc075c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE         0\n",
       "OPEN         0\n",
       "HIGH         0\n",
       "LOW          0\n",
       "CLOSE        0\n",
       "ADJ CLOSE    0\n",
       "VOLUME       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 60,
     "status": "ok",
     "timestamp": 1623952123120,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "f8yBb5cI3r88",
    "outputId": "06cf3c5a-3929-488f-a559-2a5d2d1a8b4a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8857 entries, 0 to 8856\n",
      "Data columns (total 7 columns):\n",
      " #   Column     Non-Null Count  Dtype         \n",
      "---  ------     --------------  -----         \n",
      " 0   DATE       8857 non-null   datetime64[ns]\n",
      " 1   OPEN       8857 non-null   float64       \n",
      " 2   HIGH       8857 non-null   float64       \n",
      " 3   LOW        8857 non-null   float64       \n",
      " 4   CLOSE      8857 non-null   float64       \n",
      " 5   ADJ CLOSE  8857 non-null   float64       \n",
      " 6   VOLUME     8857 non-null   int64         \n",
      "dtypes: datetime64[ns](1), float64(5), int64(1)\n",
      "memory usage: 484.5 KB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 47,
     "status": "ok",
     "timestamp": 1623952123122,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "YuTkG3_e3r89",
    "outputId": "2ca56b6c-8e2e-4869-9921-ea8eb94bf8c4"
   },
   "outputs": [],
   "source": [
    "#df2.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pTvCEwya3r8-"
   },
   "source": [
    "# EDA ANALYSIS (DataFrame.csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "executionInfo": {
     "elapsed": 952,
     "status": "ok",
     "timestamp": 1623952124046,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "lxRBbFCK3r8-"
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 419
    },
    "executionInfo": {
     "elapsed": 66,
     "status": "ok",
     "timestamp": 1623952124049,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "1a5p5a3S3r8_",
    "outputId": "2137bcbd-bf46-435f-bebb-2401711111da"
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TYPE</th>\n",
       "      <th>DATE</th>\n",
       "      <th>TIME</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
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       "      <th>CLOSE</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:16</td>\n",
       "      <td>13997.90</td>\n",
       "      <td>14020.85</td>\n",
       "      <td>13991.35</td>\n",
       "      <td>14013.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:17</td>\n",
       "      <td>14014.85</td>\n",
       "      <td>14018.55</td>\n",
       "      <td>14008.15</td>\n",
       "      <td>14009.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:18</td>\n",
       "      <td>14008.05</td>\n",
       "      <td>14013.10</td>\n",
       "      <td>14005.05</td>\n",
       "      <td>14012.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:19</td>\n",
       "      <td>14013.65</td>\n",
       "      <td>14019.10</td>\n",
       "      <td>14013.65</td>\n",
       "      <td>14016.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:20</td>\n",
       "      <td>14015.45</td>\n",
       "      <td>14017.80</td>\n",
       "      <td>14011.95</td>\n",
       "      <td>14015.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22800</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>15:27</td>\n",
       "      <td>14687.35</td>\n",
       "      <td>14694.35</td>\n",
       "      <td>14686.30</td>\n",
       "      <td>14690.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22801</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>15:28</td>\n",
       "      <td>14690.90</td>\n",
       "      <td>14690.90</td>\n",
       "      <td>14686.05</td>\n",
       "      <td>14689.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22802</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>15:29</td>\n",
       "      <td>14690.30</td>\n",
       "      <td>14694.10</td>\n",
       "      <td>14688.55</td>\n",
       "      <td>14691.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22803</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>15:30</td>\n",
       "      <td>14689.85</td>\n",
       "      <td>14693.55</td>\n",
       "      <td>14689.45</td>\n",
       "      <td>14693.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22804</th>\n",
       "      <td>NIFTY</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>15:31</td>\n",
       "      <td>14690.70</td>\n",
       "      <td>14690.70</td>\n",
       "      <td>14690.70</td>\n",
       "      <td>14690.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22805 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        TYPE       DATE   TIME      OPEN      HIGH       LOW     CLOSE\n",
       "0      NIFTY 2021-01-01  09:16  13997.90  14020.85  13991.35  14013.15\n",
       "1      NIFTY 2021-01-01  09:17  14014.85  14018.55  14008.15  14009.05\n",
       "2      NIFTY 2021-01-01  09:18  14008.05  14013.10  14005.05  14012.70\n",
       "3      NIFTY 2021-01-01  09:19  14013.65  14019.10  14013.65  14016.20\n",
       "4      NIFTY 2021-01-01  09:20  14015.45  14017.80  14011.95  14015.45\n",
       "...      ...        ...    ...       ...       ...       ...       ...\n",
       "22800  NIFTY 2021-03-31  15:27  14687.35  14694.35  14686.30  14690.60\n",
       "22801  NIFTY 2021-03-31  15:28  14690.90  14690.90  14686.05  14689.30\n",
       "22802  NIFTY 2021-03-31  15:29  14690.30  14694.10  14688.55  14691.30\n",
       "22803  NIFTY 2021-03-31  15:30  14689.85  14693.55  14689.45  14693.05\n",
       "22804  NIFTY 2021-03-31  15:31  14690.70  14690.70  14690.70  14690.70\n",
       "\n",
       "[22805 rows x 7 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d1 = data.copy()\n",
    "d1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "executionInfo": {
     "elapsed": 62,
     "status": "ok",
     "timestamp": 1623952124051,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "lTOXpQG0gnKM"
   },
   "outputs": [],
   "source": [
    "d1.columns\n",
    "d1 = d1.set_index(['TYPE','DATE','TIME'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "executionInfo": {
     "elapsed": 60,
     "status": "ok",
     "timestamp": 1623952124053,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "EPEEmJ43gsA5"
   },
   "outputs": [],
   "source": [
    "feature = ['OPEN', 'HIGH', 'LOW', 'CLOSE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 60,
     "status": "ok",
     "timestamp": 1623952124055,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "dGLAlmT7hEMD",
    "outputId": "b24e553b-251b-4d53-8a9f-94765388589b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 'OPEN'), (1, 'HIGH'), (2, 'LOW'), (3, 'CLOSE')]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(enumerate(feature))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 768
    },
    "executionInfo": {
     "elapsed": 614,
     "status": "ok",
     "timestamp": 1623952124632,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "-ML4KQrChMwC",
    "outputId": "988dd753-3d25-46e7-b32a-c7539e815b6c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,12))\n",
    "for i in enumerate(feature):\n",
    "    plt.subplot(2,2,i[0]+1)\n",
    "    base_color = sns.color_palette()[i[0]]\n",
    "    sns.distplot(x = d1[i[1]] , kde = False , color = base_color)\n",
    "    plt.xlabel(i[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 742
    },
    "executionInfo": {
     "elapsed": 5394,
     "status": "ok",
     "timestamp": 1623952130016,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "8bLKIkpiO2ms",
    "outputId": "20f69cb7-6f56-4c9a-d7a4-d6470559a704"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7ff4b3b370a0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "color = sns.PairGrid(d1)\n",
    "color.map_upper(sns.scatterplot,color = 'green')\n",
    "color.map_lower(sns.scatterplot,color = 'orange')\n",
    "color.map_diag(plt.hist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 578
    },
    "executionInfo": {
     "elapsed": 5690,
     "status": "ok",
     "timestamp": 1623952135673,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "sdihaLUEQUb4",
    "outputId": "e201d795-8439-4b55-ca9f-c55653dce92a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'DATE')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d1 = d1.reset_index()                  # line plot w.r.t DATE\n",
    "d1 = d1.set_index('DATE')\n",
    "plt.figure(figsize=(15,8))\n",
    "sns.lineplot(data = d1)\n",
    "plt.xticks(rotation = 90)\n",
    "plt.title('Line Plot with respect to DATE')\n",
    "plt.xlabel(\"DATE\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 606
    },
    "executionInfo": {
     "elapsed": 1112,
     "status": "ok",
     "timestamp": 1623952136772,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "5FlVb2YnRkrJ",
    "outputId": "5b59ac38-0899-44b0-d459-765f85c46b7b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))         #creating Box plots of various attributes\n",
    "for i in enumerate(feature):\n",
    "    plt.subplot(2,2,i[0]+1)\n",
    "    base_color = sns.color_palette()[i[0]]\n",
    "    sns.boxplot(x = d1[i[1]] , color = base_color)\n",
    "    plt.xlabel(i[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 286
    },
    "executionInfo": {
     "elapsed": 84,
     "status": "ok",
     "timestamp": 1623952136775,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "NfBIycHg3r9D",
    "outputId": "3df85317-a70f-4312-d3f2-2d5160e73f0d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(d1.corr() , vmin = -1 , vmax = 1 , annot = True , cmap = 'Blues')     #heat map to determine correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_A_96PAs3r9D"
   },
   "source": [
    "# EDA ANALYSIS (MSFT.csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 419
    },
    "executionInfo": {
     "elapsed": 66,
     "status": "ok",
     "timestamp": 1623952136777,
     "user": {
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>ADJ CLOSE</th>\n",
       "      <th>VOLUME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1986-03-13</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1986-03-14</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1986-03-17</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1986-03-18</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1986-03-19</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8852</th>\n",
       "      <td>2021-04-27</td>\n",
       "      <td>261.579987</td>\n",
       "      <td>263.190002</td>\n",
       "      <td>260.119995</td>\n",
       "      <td>261.970001</td>\n",
       "      <td>261.970001</td>\n",
       "      <td>31014200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8853</th>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>256.079987</td>\n",
       "      <td>256.540009</td>\n",
       "      <td>252.949997</td>\n",
       "      <td>254.559998</td>\n",
       "      <td>254.559998</td>\n",
       "      <td>46903100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8854</th>\n",
       "      <td>2021-04-29</td>\n",
       "      <td>255.460007</td>\n",
       "      <td>256.100006</td>\n",
       "      <td>249.000000</td>\n",
       "      <td>252.509995</td>\n",
       "      <td>252.509995</td>\n",
       "      <td>40589000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8855</th>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>249.740005</td>\n",
       "      <td>253.080002</td>\n",
       "      <td>249.600006</td>\n",
       "      <td>252.179993</td>\n",
       "      <td>252.179993</td>\n",
       "      <td>30929200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8856</th>\n",
       "      <td>2021-05-03</td>\n",
       "      <td>253.399994</td>\n",
       "      <td>254.350006</td>\n",
       "      <td>251.119995</td>\n",
       "      <td>251.860001</td>\n",
       "      <td>251.860001</td>\n",
       "      <td>19598900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8857 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           DATE        OPEN        HIGH         LOW       CLOSE   ADJ CLOSE  \\\n",
       "0    1986-03-13    0.088542    0.101563    0.088542    0.097222    0.061751   \n",
       "1    1986-03-14    0.097222    0.102431    0.097222    0.100694    0.063956   \n",
       "2    1986-03-17    0.100694    0.103299    0.100694    0.102431    0.065059   \n",
       "3    1986-03-18    0.102431    0.103299    0.098958    0.099826    0.063405   \n",
       "4    1986-03-19    0.099826    0.100694    0.097222    0.098090    0.062302   \n",
       "...         ...         ...         ...         ...         ...         ...   \n",
       "8852 2021-04-27  261.579987  263.190002  260.119995  261.970001  261.970001   \n",
       "8853 2021-04-28  256.079987  256.540009  252.949997  254.559998  254.559998   \n",
       "8854 2021-04-29  255.460007  256.100006  249.000000  252.509995  252.509995   \n",
       "8855 2021-04-30  249.740005  253.080002  249.600006  252.179993  252.179993   \n",
       "8856 2021-05-03  253.399994  254.350006  251.119995  251.860001  251.860001   \n",
       "\n",
       "          VOLUME  \n",
       "0     1031788800  \n",
       "1      308160000  \n",
       "2      133171200  \n",
       "3       67766400  \n",
       "4       47894400  \n",
       "...          ...  \n",
       "8852    31014200  \n",
       "8853    46903100  \n",
       "8854    40589000  \n",
       "8855    30929200  \n",
       "8856    19598900  \n",
       "\n",
       "[8857 rows x 7 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2 = df2.copy()\n",
    "d2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "executionInfo": {
     "elapsed": 65,
     "status": "ok",
     "timestamp": 1623952136780,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "dTaQ9g0RSW_P"
   },
   "outputs": [],
   "source": [
    "d2 = d2.set_index('DATE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "executionInfo": {
     "elapsed": 65,
     "status": "ok",
     "timestamp": 1623952136782,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "n3qoL67LShlF"
   },
   "outputs": [],
   "source": [
    "feat = d2.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 69,
     "status": "ok",
     "timestamp": 1623952136787,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "5Pfm4hI7St4J",
    "outputId": "d0e62a93-2dcb-4855-b1d5-958ab7783a5e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 'OPEN'),\n",
       " (1, 'HIGH'),\n",
       " (2, 'LOW'),\n",
       " (3, 'CLOSE'),\n",
       " (4, 'ADJ CLOSE'),\n",
       " (5, 'VOLUME')]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(enumerate(feat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 1761,
     "status": "ok",
     "timestamp": 1623952138493,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
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    },
    "id": "_rvS3m4ySLW3",
    "outputId": "78692e84-0031-4fa1-b35e-3759df3fe6c6"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,15))         #creating distribution plots of various attributes\n",
    "for i in enumerate(feat):\n",
    "    plt.subplot(3,2,i[0]+1)\n",
    "    base_color = sns.color_palette()[i[0]]\n",
    "    sns.distplot(x = d2[i[1]] , color = base_color)\n",
    "    plt.xlabel(i[1]);\n",
    "    plt.title(f'Distribution plot of {i[1]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "executionInfo": {
     "elapsed": 17,
     "status": "ok",
     "timestamp": 1623952138495,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "I34yRMdN3r9F"
   },
   "outputs": [],
   "source": [
    "#plt.figure(figsize=(15,10))    #plot of line plot btwn Date and various other attributes\n",
    "#d2 = d2.set_index('DATE')\n",
    "#sns.lineplot(data = d2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 14787,
     "status": "ok",
     "timestamp": 1623952153268,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "RwxQhpaaTygA",
    "outputId": "8429bb36-1097-4af9-8be6-bceb631fbaea"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7ff4b61eff40>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data = d2)      #Plots b/w various attributes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 606
    },
    "executionInfo": {
     "elapsed": 1692,
     "status": "ok",
     "timestamp": 1623952154926,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "GOnGmbGRUls9",
    "outputId": "db00cea2-73d3-4d73-d7c6-f2883f4a0aac"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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0qjFjxvS6L9XV1Zo1a1araYkx9utf/7qOPvroDu8XDodVUVGRfCFdVlamkSNHJuebWXI95eXlGjVqVHL7Et+1mPoiPBKJ6Fvf+pbq6upUXFys+fPnq7a2ttUy4XBYs2fPVnFxsSoqKhSNRlVTU5McJ2bPnq3x48d3WYdwOKy6ujrNmjUr+bzd9qzJvHnzZGaqqanR/PnzFY1Gk/ukuLhYc+bM0ezZsxWNRlsdV4maJPZLX4VCIZmZKisrVVVV1Wp9ibE3HA6rqKhI1dXVqqqqSr6WKS4u1uzZs5Ovncws2cdPfOITyfWUlZUpEokkXzO0PQYSdY9EIpozZ44k6bzzztOECRNUV1enCRMm6LzzztN5552nY489VvPnz9eQIUOSdamurtaECROS9YtEIsnLrIuKilRXV5exs1US32PF91j1QUf7EcDgwvdY9Q7fY8X3WEkd70MAgw/fYwUAAAAAGUKwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPBCsAAAAA8ESwAgAAAABPoWw2Nm7cuGw2hwxhPwJA+sVisVx3AZ7Yh0B+y2qwuvLKK7PZHDKE/QgA6Tdt2rRcdwGe2IdAfuNSQAAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwRLACAAAAAE8EKwAAAADwFMp1BySp8MNdKv7zk1luc6ck9ardwg93SRqdoR4BANDepgMR3fNORdbblNSrdjcdiGhspjoEAANAzoPVuHHjctLupk1NkqSKit4EpdE56y8AIP/EYrGctDtk82ZJUrS8vMf3Gavc9RcA+oOcB6srr7wy110AAKBfmjZtWq67AADoId5jBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4Mmccz1f2Gy7pHWebY6StMNzHYMBdQhQhwB1CFCHQH+oQ41zrjTHfRgwGB/TijoEqEOAOlCDhP5Uhw7HyF4Fq3Qws5XOuZOy2mg/RB0C1CFAHQLUIUAd8hP7PUAdAtQhQB2oQcJAqAOXAgIAAACAJ4IVAAAAAHjKRbB6IAdt9kfUIUAdAtQhQB0C1CE/sd8D1CFAHQLUgRok9Ps6ZP09VgAAAAAw2HApIAAAAAB4ylqwMrOzzOwvZlZvZldnq93+wMwazOw1M1ttZivj00aY2XNm9k789/Bc9zMTzOxhM9tmZq+nTOtw2y2wLH6MvGpmJ+Su5+nVSR2uN7NN8eNitZlNSpl3TbwOfzGzz+Wm1+lnZlVm9pKZvWlmb5jZ7Pj0vDomuqhD3h0TCDBG5t8YyfjI2JjA2DiIxkXnXMZ/JBVKWiOpTlKRpFckTcxG2/3hR1KDpFFtpt0q6er47asl3ZLrfmZo20+RdIKk17vbdkmTJD0lySR9UtLvc93/DNfheknzO1h2YvwxEpFUG3/sFOZ6G9JUh3JJJ8RvHyHp7fj25tUx0UUd8u6Y4IcxMl/HSMZHxsaUbcv7sXGwjIvZOmP1CUn1zrm1zrlDkh6XdE6W2u6vzpH0aPz2o5LOzV1XMsc592tJu9pM7mzbz5H0mAv8TtIwMyvPSkczrJM6dOYcSY875w46596VVK/gMTTgOec2O+f+GL/9gaS3JFUoz46JLurQmUF7TEASY2RHBv0YyfjI2JjA2Dh4xsVsBasKSRtS/t6oros12DhJz5rZKjObHp822jm3OX57i6TRuelaTnS27fl4nMyMn8Z/OOVSl7yog5nFJH1c0u+Vx8dEmzpIeXxM5LF837+MkYfl7XNhG3n7PMjYOLDHRT68IjtOds6dIOlsSd8ws1NSZ7rgnGZefjxjPm+7pO9LGivpeEmbJS3NaW+yyMxKJP2bpG865/amzsunY6KDOuTtMYG8xhjZgXzdbuXx8yBj48AfF7MVrDZJqkr5uzI+LS845zbFf2+T9DMFpyq3Jk7bxn9vy10Ps66zbc+r48Q5t9U51+yca5H0oA6fwh7UdTCzsIInzZ84556IT867Y6KjOuTrMYH83r+Mka3k3XNhW/n6PMjYODjGxWwFq/+WNN7Mas2sSNIUSSuy1HZOmdlQMzsicVvSmZJeV7D9U+OLTZX089z0MCc62/YVki6Of9rNJyW9n3IKfNBpcz30lxUcF1JQhylmFjGzWknjJf0h2/3LBDMzScslveWcuyNlVl4dE53VIR+PCUhijGSMPCyvngs7ko/Pg4yNg2hczNanZCj4BJO3FXxqx8JstZvrHwWf8vRK/OeNxLZLGinpBUnvSHpe0ohc9zVD2/9TBaduGxVc/zqts21X8Ok298WPkdcknZTr/me4Dj+Kb+erCp4gylOWXxivw18knZ3r/qexDicruJThVUmr4z+T8u2Y6KIOeXdM8JPcv4yReTZGMj4yNqZsV96PjYNlXLR4xwAAAAAAfcSHVwAAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IV8o6ZVZrZz83sHTNbY2Z3m1mRmZ1qZu+b2Woze8vMFseXT52e+DkjPs+Z2dKUdc83s+tztGkAAHgxs31t/r7EzO6N377ezOanzJtrZn82s9fM7BUzuyP+Ja8yswYzG5Wy7Klm9h/Z2g4gFwhWyCvxL6B7QtK/O+fGS5ogqUTSkvgi/79z7nhJJ0m60MxOSJ2e8vN8fPpBSZNTBw8AAAY7M7tcwRc6f9I5d5yk/yFpm6TinHYMyCGCFfLNaZI+cs79gyQ555olzZF0qaQhiYWcc/slrZI0rpv1NUl6IL4OAADyxUJJVzjn9kiSc+6Qc+5m59ze3HYLyJ1QrjsAZNlfKwhMSc65vWa2XikhysxGSvqkpJsklUr6OzNbnXK3rzjn1sRv3yfpVTO7NZMdBwAgC4rbjHcjJK1IXcDMjpRU4px7t5t1vWRmzfHbJZL+nLZeAv0QwQpo7e/M7E+SWiTd7Jx7w8xOVXAp4Bc6ukM8mD0maZakA1nrKQAA6Xcgfkm8pOA9Vgouj++UmX1O0i2Shkn6P86538ZnfcY5tyO+zKmS5nd0f2Cw4FJA5Js3JZ2YOiH+n7dqSfUKAtTHnXMnOud+0Iv13iVpmqSh6eooAAD9Ufxyv31mVhv/+5l4GHtdUlEu+wbkEsEK+eYFSUPM7GJJMrNCSUslPSLpw76u1Dm3S9I/KwhXAAAMdt+T9H0zGyYlPxwqmtMeATlGsEJecc45SV+WdJ6ZvSPpbUkfSVrQzV3/rs3HrX+1g2WWSuLTAQEA+eD7Cv5Z+Xsze1XSf0r6U/wHyEsWvM4EAAAAAPQVZ6wAAAAAwBPBCgAAAAA89erj1keNGuVisViGugIA6C9WrVq1wzlXmut+DBSMjwCQPzobI3sVrGKxmFauXJm+XgEA+iUzW5frPgwkjI8AkD86GyO5FBAAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPIVy3YFly5apvr4+6+1u3LhRklRZWdmr+40bN06zZs3KRJcAAGjlwQcf1Nq1a7Pe7ubNmyVJ5eXlvbpfXV2dLrvsskx0CQD6vZwHq/r6ev3pjT9Jw7Lc8PvBr+22vef32ZORngAA0KG1a9fqnddeU2lzc1bb/aCwUJJUvHVrj++zPX4fAMhXOQ9WkqRhUsupLVltsuDl4CrI3rSbuA8AANlS2tysKfs/zGqbjw8dIkm9ajdxHwDIVyQFAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPCU1WC1bNkyLVu2LJtNIo3YfwCQOQ8++KAefPDBXHcDHtiHQH4LZbOx+vr6bDaHNGP/AUDmrF27NtddgCf2IZDfuBQQAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADyFct0BDCz19fU65ZRTJElmJudcjnsUGDZsmPbs2SNJCoWCw7qpqUmFhYVqbm5utWxlZaXmzJmjBQsW6ODBg+3WNWLECO3evVuhUEihUEgzZszQ0qVLe92niooKHXXUUTr55JP1wAMPSApqNnfuXN13330yM33lK1/Rj3/843b3TbRdVlam7du3q7y8XB9++KG2bNmSXGb+/Pn61Kc+pfnz52vt2rUqLS3V9u3bJUljxoxRc3Oztm/frnA4rAULFui2227T8OHD9d5772nUqFHavn27ampqNGvWLC1cuFBmpiVLluiuu+7S+vXrZWaqqqpSSUmJpk2bpoULF6qpqUlNTU3t+ltZWamdO3dqzJgxKi4u1pIlSzRy5EhJ0ttvv63Zs2frnnvuUUtLi2bOnClJGj16tLZs2aJDhw5p7ty5+sEPfqALL7xQP/zhD2VmKiwsbNVW6r4sKChQS0tLj/dF6n0Tx+3o0aO1bdu2ZC3GjBmjPXv2aNiwYdqyZYvmzZunFStWaP369Tp06JCOPvpo7dixQy0tLWpsbNSRRx6pvXv3Jtuorq7W7Nmzde2112r06NEKhUIyM0mSc07vv/++tm3bptLSUkWjUW3atElLly7ViSeeKEnasWOHFi1aJEmaN29e8phL3D5w4IC2bt2q73znO3rooYfU2Nio5uZmbdq0SYcOHVIkEtH999+vlpaWZL3HjRvX4xoB8HfgwAGtWbNGX/ziF3v9PNXW0KFDtX///jT2LnguLC0tTY4lp5xyin79618n58diMZ1//vm67bbbFAqF1NLS0moMTX1uLioqUmlpqbZt26bGxsZe9+WSSy7R448/rkOHDqmlpUVf/OIX9dxzzyVrVlBQoL/927/V73//+1b3Ky0t1d69e5PPxUVFRRo5cqQ2b96cXOb888/XihUrkmNWYWGhWlpadMUVV+iBBx5Iji2hUEjNzc266aab1NLSosWLFysUCqmwsFCzZs3S3XffrYMHD8rMVF1dnRy/Dx48qC1btiT7EA6HZWZqbm5u95ojHA5r2LBh2r59u8rKyrR3715VVFRo8eLFGj58uCRp165dWrJkiZqbmxUKhXTOOefo9ttv1/z58/Xv//7vMjOdfvrpuv/++5OvC9L9+isxNqbu43A4LEnJ/VtWVqZt27apvLxcO3fuVGNjoy6//HI98sgjGjFihHbs2KHGxka1tLToqKOO0t69e9uN5ZJ01VVX6V//9V+1efNmLViwQA899JDWr1+fbD8cDquqqipZo127dum73/1ustYLFy7U7t27dfXVV6usrEyRSEQzZ87U0qVLtX79el111VX6j//4D02aNEm33367qqur9bWvfU233nqrIpGIbrvtNtXW1qa1fsk69mbHnHTSSW7lypV9bmzWrFmSpGXLlrWa9qdNf1LLqX1/8umLgpeDk3W9abfg5QJ9vOLjrfqfT2bNmqXVq1fnuhtpUVJSon379vVo2XQHyHStz8z0pS99ST//+c+7XTYUCnUYiKTWteisLr2plySde+65mjt3riTp4osvVkNDg2KxmCSpoaGh3fL9KaQn9KVPva1TSUmJnnzySUnS0qVLk/syFosl65R6u7s2Umsci8X02GOP9ar/qcxslXPupD6vIM/4jo+SdM0110iSvve977Watmf1ak3Z/6HXunvr8aFDJKlX7T4+dIiGHX98q/7nm69+9asd/sNuIOlqvBjoOnteLykpkXOuVZDtqA7V1dVav359WvoyadIkXXHFFZKk+++/X0899VS7tlP70B/HSalv/Urdrq7GtESN2tZn0qRJeu2117Rhw4bktNR9kwjMqaEutc3q6mrdd999vepzW52NkVwKiB6rr6/PdRfSpjcvftP9RJau9Tnn9Itf/KJHy3Y1SKbWorO69KZekvTkk09q586devvtt5OhoKGhocNQJaW/xunQlz71tk779u3TqlWrtGPHjmTAklqHz7Y166qN1Bo3NDQMqscs0N+tXbt2wIcqqevxYqDr7Hl937597c4OdlSHdIUqSXr22We1e/du7dq1S88//3yHbaf2oT+Ok1Lf+pW6XV2Nac8++6zefffddvV55plnWoUqqfW+aWpqknOuVTupt9evX69333231/3uiaxeCrhx40YdOHAgeeZKkt555x0puyer+m5f0N/U/ueT3r5oROb5XGaSSY2NjXr00UcHzRnOTLr22mt1+umnZ+TFzI033uh11grZtXnzZh04cCB55koKXqwXFAyM/4HuKSjQrrVrW/U/n7zzzju57gIGkKamJj3++OPtAgAOa2pq0u23396uPm0vt+yL22+/3fusVUe6DVZmNl3SdCk4dQYA3XHO6dlnn9WHH2b38qWBaN++fXruuecy8t/Izs4QIj0YH5FqMJytQna99NJLkvrv2aj+IJ1nCbOx3m6DlXPuAUkPSME15D6NVVZWSur4PVYDQok0vmJ83r7HKvGhFUB3zExnnnmmVq9ezYv7bpSUlOj000/XihUr0j64Jt5zhcxI5/goSeXl5ZI6fo/VQDCspUXD6ury9j1WM2bMaHd5EtCVz3zmM3LO6emnnyZcdaK6ulobNmxIe30y9c+wgXF9AfqFkpKSXHcBbfTXS4TC4bCmTp2a/JQ7dO6mm27S1KlTk59mmU7XXXdd2tcJoGPz58/PdRcwgIRCIU2ZMkVTpkzJyPP/YBAKhTR//vx29SksLPRed6Yer/3zVRn6pcH00c29CYmJj8xOl3Stz8z0xS9+sUfLdvWknVqLzurS21A9adIkjRw5UhMmTEieNYnFYp2eQUl3jdOhL33qbZ1KSkp04oknatSoUZo0aVJyemqd2tasqzZSaxyLxQbVYxbo7+rq6hSJRHLdDW+D+UV+Z8/rJSUlGjp0aKtpHdUhnWc5zjzzTA0fPlwjRozQGWec0WHbqX3oj+Ok1Ld+pW5XV2PamWeeqdra2nb1+dznPqeqqqpW01L3TeLrTlLbSb1dXV2dsY9bJ1ihV1IfAP3pQT5s2LDk7cR3QEkd/1ejsrJSN9xwQ6cD4IgRI5Lfo1BcXJz82PDeqqio0MSJEzV9+vTktMT3WEWjURUXF+vCCy/s8L6hUEjRaFTV1dUqLi5WXV2dxowZ02qZefPmaerUqaqrq5MUfLdHwpgxY5J/J77zYciQIaqoqJCZJefV1NTohhtuSPbnxhtvTD45Jb63Y+LEicllOhtwKysrVVxcrNraWk2cOFFTp05Nzlu0aJGGDh2q6667TosWLVI0GlU0GlVNTY0ikUiyJkOHDtXXv/71ZNtd/Yeqt2fqUu+bOG5Hjx7dqhZjxoxRNBpN1nnu3LkaP358so8VFRWKRCLJ7/U48sgjW7VRXV2tG264QUOGDFFtba3Gjx+vCRMmaMKECRo/frzKysokBfupqqpKBQUFuummm5L3nzp1qiZOnKiJEyfq2muvbXe7trZWQ4YM0Y033qiJEydq/PjxyRdyZqZoNJqscaLeALIr8ZYHyf+KgrYv9NOhsLCw1VjS9hL/WCymuXPnJsfAtmNo6nNzUVGRKioqks+JvXXJJZcoGo0m6/TFL35R0WhURUVFKioqUjQa1f/8n/+z3f1KS0tbPRcXFRUlL6NNOP/881uNWYWFhTIzXXHFFe1ebJuZrr76an37299Obnc0GtXcuXOTrxPMTDU1NZo3b54mTJiQHL8SfQiHwyoqKurwNUc4HE6OM2VlZYpGoxo7dqymTJmSXGbKlCmaMGGCxo4dq2OOOUZz585VQUGB5s6dqwkTJuiYY45JfjR7WVlZRl5/JdaZuo/D4XCr/ZsYx8rLy1VUVCQz0+WXX67i4uLkGJnYn0cddVSHY7kUjK91dXUqLi7Wt7/9bdXU1LRqv6ioqFWNpkyZomOOOUZ1dXU65phjNGXKFM2fP1/FxcWqqanRhAkTNH/+/OR65s2bp4kTJ2rOnDnJfZd4LReJRDJ6dpnvseJ7rHqso/0HYHDie6x6h++x4nuspI73IYDBh++xAgAAAIAMIVgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgCeCFQAAAAB4IlgBAAAAgKdQNhsbN25cNptDmrH/ACBz6urqct0FeGIfAvktq8Fq1qxZ2WwOacb+A4DMueyyy3LdBXhiHwL5jUsBAQAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMBTKNcdkCTtkQpeznLG2xP86lW7eyRVZKAvAAB0YnthoR4fOiSrbW4rLJSkXrW7vbBQwzLUHwAYCHIerMaNG5eTdje6jZKkyorKnt+pInf9BQDkn7q6upy0e2DzZknSsPLyHt9nmHLXXwDoD3IerGbNmpXrLgAA0C9ddtllue4CAKCHeI8VAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ3PO9Xxhs+2S1nm2OUrSDs91DAbU4TBqEaAOh1GLQC7rUOOcK81R2wMO42NaUYcAdTiMWgSoQ6A/1KHDMbJXwSodzGylc+6krDbaD1GHw6hFgDocRi0C1CG/sL8D1CFAHQ6jFgHqEOjPdeBSQAAAAADwRLACAAAAAE+5CFYP5KDN/og6HEYtAtThMGoRoA75hf0doA4B6nAYtQhQh0C/rUPW32MFAAAAAIMNlwICAAAAgKesBSszO8vM/mJm9WZ2dbba7S/MrMHMXjOz1Wa2Mj5thJk9Z2bvxH8Pz3U/M8HMHjazbWb2esq0DrfdAsvix8mrZnZC7nqeXp3U4Xoz2xQ/Llab2aSUedfE6/AXM/tcbnqdfmZWZWYvmdmbZvaGmc2OT8/HY6KzWuTdcZHv8nmMzNfxkbExwNgYYGwMDPhx0TmX8R9JhZLWSKqTVCTpFUkTs9F2f/mR1CBpVJtpt0q6On77akm35LqfGdr2UySdIOn17rZd0iRJT0kySZ+U9Ptc9z/Ddbhe0vwOlp0Yf5xEJNXGHz+Fud6GNNWhXNIJ8dtHSHo7vr35eEx0Vou8Oy7y+Sffx8h8HR8ZG7usQ949BzI2dluHAXFMZOuM1Sck1Tvn1jrnDkl6XNI5WWq7PztH0qPx249KOjd3Xckc59yvJe1qM7mzbT9H0mMu8DtJw8ysPCsdzbBO6tCZcyQ97pw76Jx7V1K9gsfRgOec2+yc+2P89geS3pJUofw8JjqrRWcG7XGR5xgj2xv04yNjY4CxMcDYGBjo42K2glWFpA0pf29U10UajJykZ81slZlNj08b7ZzbHL+9RdLo3HQtJzrb9nw8VmbGT+M/nHK5S17Uwcxikj4u6ffK82OiTS2kPD4u8lC+71fGx8Py+nmwjbx9DmRsDAzEcZEPr8iek51zJ0g6W9I3zOyU1JkuOJ+Zlx/RmM/bLun7ksZKOl7SZklLc9qbLDKzEkn/Jumbzrm9qfPy7ZjooBZ5e1wgLzE+diBftzsub58DGRsDA3VczFaw2iSpKuXvyvi0vOGc2xT/vU3SzxScptyaOG0b/70tdz3Mus62Pa+OFefcVudcs3OuRdKDOnz6elDXwczCCp4wf+KceyI+OS+PiY5qka/HRR7L6/3K+NhKXj4PtpWvz4GMjYGBPC5mK1j9t6TxZlZrZkWSpkhakaW2c87MhprZEYnbks6U9LqCGkyNLzZV0s9z08Oc6GzbV0i6OP5pN5+U9H7KKfBBp8310F9WcFxIQR2mmFnEzGoljZf0h2z3LxPMzCQtl/SWc+6OlFl5d0x0Vot8PC7yXN6OkYyP7eTd82BH8vE5kLExMODHxWx9SoaCTy95W8GndSzMVrv94UfBJz29Ev95I7H9kkZKekHSO5KelzQi133N0Pb/VMFp20YF175O62zbFXy6zX3x4+Q1SSfluv8ZrsOP4tv5qoInh/KU5RfG6/AXSWfnuv9prMPJCi5leFXS6vjPpDw9JjqrRd4dF/n+k69jZD6Pj4yNXdYh754DGRu7rcOAOCYs3iEAAAAAQB/x4RUAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlghbxlZvs6mHaUmT1mZvVmtiZ++6j4vJ+Z2bkpy/7FzBal/P1vZjY5K50HACBNzGyMmT0eH/dWmdmTZjbBzF7vYNlKM/u5mb0TX/7u+PevycyGmNlPzOw1M3vdzH5jZiXxec1mtjrl5+psbyeQaQQroLXlktY658Y558ZKelfSQ/F5/ynpU5JkZiMl7Zf0v1Lu+78k/TaLfQUAwEv8C1l/Jull59xY59yJkq6RNLqTZZ+Q9O/OufGSJkgqkbQkvshsSVudc8c55z6m4DupGuPzDjjnjk/5uTmzWwZkH8EKiDOzcZJOlHRTyuQbJZ1kZmMVhKZPxad/StIvJJXGv/W8VsGgsSWbfQYAwNNnJDU6536QmOCce0XShg6WPU3SR865f4gv1yxpjqRLzWyIpHJJm1LW8xfn3MFMdh7oTwhWwGETJa2ODxSSkoPGakl/LWmVpI/FL3n4lKT/UvAt38fG/+ZsFQBgoPmYgvGtJxJjYZJzbq+k9ZLGSXpY0rfN7L/M7DtmNj5l0eI2lwJ+LR2dB/qTUK47AAwUzrmDZvaGpBMkfVLSrZLqFISqjyu4VBAAgLzknFttZnWSzpR0hqT/NrP/5Zx7S/FLAXPaQSDDOGMFHPampOPNLPm4iN8+Pj5PCsLTKZKOcM7tlvQ7BcGKM1YAgIHoDQWXwffEm22XNbMjJVVLqpck59w+59wTzrkZkn4saVIa+wr0awQrIM45Vy/pT5IWpUxeJOmP8XlSEJ6+LumV+N+vKjh7VS2p3acnAQDQz70oKWJm0xMTzOxvJFV1sOwLkoaY2cXx5QolLZX0iHPuQzP732Y2PD6vSMEl9usyvQFAf0GwQj4bYmYbU37mKvgEownxj5Bdo+ATj6al3Oe3Ci7/+y9Jcs41SdomaaVzriXL/QcAwItzzkn6sqQz4mPfG5K+J2mLpGNSx0lJX40ve56ZvSPpbUkfSVoQX91YSb8ys9cU/KNypaR/i89r+x4rPhUQg44FjycAAAAAQF9xxgoAAAAAPBGsAAAAAMBTrz5ufdSoUS4Wi2WoKwCA/mLVqlU7nHOlue7HQMH4CAD5o7MxslfBKhaLaeXKlenrFQCgXzIzPsmrFxgfASB/dDZGcikgAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgK5arhRx99VOvWrUv7erds2SJJGjNmTI+Wr6mp0dSpU9PeDwAAMuXee+/VmjVrWk3btGmTJKmioqLD+4wdO1YzZ87MeN8AIF/lLFitW7dOb/+5XkPDw9O63v2N+yRJzft39mDZ3WltGwCAbFizZo3eePVVlYQLk9M+aGySJDXt3dNu+X2NzdnqGgDkrZwFK0kaGh6u40adkdZ1vrbjeUnq0XoTywIAMNCUhAt14qgjk3+v2rFXklpNazsPAJA5vMcKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADwRrAAAAADAE8EKAAAAADxlNVg9+uijevTRR7PZ5KBHTQFgcLj33nt177335rob3Roo/QSAbAtls7F169Zls7m8QE0BYHBYs2ZNrrvQIwOlnwCQbVwKCAAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeCFYAAAAA4IlgBQAAAACeQrnuAPxs27ZNO3fu1AUXXNCr+5WUlGjfvn36v//3/+qEE07QHXfcoV27dmnXrl1d3s/M5Jzz6XLaVVdX69xzz9WyZcskSUceeaT27t3bbv4999yjUCiklpYWNTc3t1pHYWGhmpubVVRUpMsvv1zf//731djY2OvtLS0tVTQa1ZYtW9TY2ChJmjZtmn784x+rublZzc3NuvLKK/UP//AP+uCDDxSNRvXRRx9JksaMGaOWlhZt27ZNI0aM0O7duzVs2DDt3r1bBQUFamlp0fDhw7Vnzx4VFBSoublZpaWl2rt3r0aOHKktW7aopaVFkjRq1Ch98MEHOvroo/WFL3xB9957r0KhkEpLS7Vz504dccQR2rFjh8LhsCoqKvT1r39dy5cv18GDB5N9D4VCKiws1IUXXqiHH364XR1CoZCam5sVCoVkZho9enTyPvPmzdOwYcMkSbt379Ydd9yh5uZmNTU1adu2bSotLVU4HFYoFNLcuXO1fv16fe9731MoFFJTU1On9U3UobeOOuoovf/++8n9PGzYMO3Zs0fDhw9P1nnPnj0yM1166aX68Y9/LOeczCy5L6ZPn64HHnhAJSUl2rFjR7LOe/fu1aFDhyQdPo7C4bDMLFnb++67Txs2bGhVt8rKSi1YsCC5j5ctW6apU6dq+fLlMrNkXW6++WZVVFRo5syZeuihh3Tw4EFt375dc+fO1U9/+lO99957Kisrk3NO27ZtkyRVVFToqquuSu4DIJ0aGxv15ptv6rTTTst4WyNHjtTOnTslSXV1dbriiiu0aNEiHTx4UJIUDodVWVmpUCikcDisSy65RIsXL1ZlZaWmTJmim266Kfm8Ul1drUWLFunee+/VddddpxEjRmjnzp267rrrJElnnnmm7r77bpmZYrGYrrnmGt16663auHGjxowZo3A4rHA4rK985StasmSJZs+erQceeEB33XWXxo4dm/Fa5KOdO3fqpptuSu6vway7bc2nWmRKNmpovXnReNJJJ7mVK1f2ubEbb7xRknTdddfpxhtv1KY1O3XcqDP6vL6OvLbjeUnq0Xpf2/G8KsaOTD6pDkS9DVRtmZlOP/10Pf/882nqUW5094K8u/l9XbYn2oazdK+/Oz1pr6KiQps2bepwXl/C9Gc/+1ldeumlkqTly5d3eXx99rOf1W9/+1vt37+/V21kSmfb29f9VllZqY0bN3Y4L1Gn5cuX64UXXtDRRx+d3A9t69J2PUOHDu2yZqn7oC/MbJVz7qQ+ryDP+I6PkjRnzhxJ0p133tmjZde99YZOHHVkctqqHcE/lFKnpc6rOfave7Tu7px33nnJsJNtiX8K9mR+R4/ZWCymdevW6Utf+pJmz56tu+66SytWrJDU/rEfi8XU0NDQro3EehPLx2IxPfzww2nYOrR111136Re/+EVyfw1m3W1rPtUiU9JZw87GSC4FHMB+/vOfe6/DOacXX3wxDb3Jre5e8PbmBXG6Q0/bF+nZDFU9ba+zUCW1739PvPzyy9qzZ492796tl19+uctlX3zxxX4TqqTOt7ev+62zUCUF275u3Tr96le/knOu1X544YUXWtWl7Xq6q9lLL72kPXv29KnPQGd27tyZs1AlqctQ1XZ+R4/ZhoYGOef01FNPac2aNXrqqaeS89o+9jsKVanrTSzf0NCgNWvW9Kj/6LmdO3fq6aefTu6v7q6oGci629Z8qkWmZKuGWb0UcMuWLTp48KBuvPFGrVu3Tk1Nub2k7KOmD7Ru3b7kmbSB5q233krLevpyaRXQlaamJj3xxBNyzrW77LKt7uYPZs3Nzbr33ns7DHO+j8vEPvA5a4Xs2rRpkw4cOJA8c9WV+vp6NTb1/LHzYVOz6uvre7TurnT1j4KBpKWlRUuWLEnbP7qWLFnCWas0+9GPfpR8HmxpadGPfvSjQXumprttzadaZEq2atjtGSszm25mK81s5fbt29PeAQCDj3NOv/nNb/Sf//mf/e49ef3Nxo0bM3YW8ze/+U1G1otAPo6Pu3fvznUX0qKpqSl59iodOju7hb57/vnnk8+NTU1Neu6553Lco8zpblvzqRaZkq0adnvGyjn3gKQHpOAacp/GxowZI6n1e6xyKRo6QhU1A/c9Vr7vrwIyxcx08sknyzmnF154gXDVhcrKSm3ZsiUj4erkk09O+zpxWDrHRyl4r6PUu/dY9dSQUKFqxo3zfo9V6nuSBrJQKKTKykqtW7cuLc9PsVjMv1No5YwzztCTTz6ppqYmhUIhffazn811lzKmu23Np1pkSrZqyHusBrApU6akZT0FBRwGSK9QKKTJkydr8uTJKiws7HLZ7uYPZoWFhZo5c6bMrN0838dlYh8A6XTRRRflugtpUVBQoIULFyoUSs87IhYuXJiW9eCwiy66KPk8WFBQMGiOvY50t635VItMyVYNeUU9gJ1zzjne6zCzrHxkbqZ1Nzj2ZvBM10Cb0PZFc7rX352etJf4T3lHOnrR351TTz1Vw4YN0/Dhw3Xqqad2uexpp52moUOH9rqNTOlse/u63yorKzudd9ppp6mmpkaf/vSnkx/PnnD66ae3qkvb9XRXs8985jN83DrSbuTIkRo5cmTO2i8pKenx/I4es7FYTGams88+W2PHjtXZZ5+dnNf2sd/ZWajEehPLx2IxPm49A0aOHKmzzjorub8G80eMd7et+VSLTMlWDQlWA1xfB7jE4DNt2jRNnjxZ48aN69FB1pcX2ZlWXV2tGTNmJP8+8sgjO5xvZgqHwx2eIUlMKyoq0owZMxQOhyX1fntLS0tVVVWVvL8kXXrppYpEIsnve5oxY4aOOOIISVI0Gk0uN2bMGJWVlUmSRowYITPT8OHDJR0+ezF8+HCZWbK/paWlikQiOvroo1ud4Rg1apQikYhqa2t1xRVXJLf96KOPViQS0ahRoyQF3wETi8U0c+ZMjRs3rlXfQ6GQIpGILr300g7rkNiecDisoqIiVVVVqba2VuPGjWt1piRxfNXW1qqqqkqRSESVlZWqra3V+PHjNXnyZM2aNSu5zq709SzOUUcdJenwfk4EjkR9E38nvscqEomoqKhIkUhE5eXlikajmjFjhqLRaLJ2UlDnoqKi5N+J9SdqUltbq5kzZ6qqqiq5TKJuVVVVyTpNnjxZxxxzTHI/pNbFzFRZWdlqH0WjUc2ePVu1tbWKRCKqqqpSZWWlioqKku1ytgqZMnr06Ky1lTrG1dXVafHixYpEIslp4XA4+VwyceJEXXfddSouLtb48eN1zTXXSDr8vFJdXa0FCxbouOOOS/63+qKLLtKxxx6rY489Nvk8ZGaqra3VggULNG7cOEWjUcVisWQb11xzjQoKCvTNb35TQ4cO5WxVBl100UWt9tdg1t225lMtMiUbNeR7rAb491il1hQA0oXvseqdfPoeq970EwAGI77HCgAAAAAyhGAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ4IVgAAAADgiWAFAAAAAJ5C2WyspqYmm83lBWoKAIPD2LFjc92FHhko/QSAbMtqsJo6dWo2m8sL1BQABoeZM2fmugs9MlD6CQDZxqWAAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOCJYAUAAAAAnghWAAAAAOAplMvG9zfu1ms7nk/7OiX1aL3BsiPT2j4AANmwr7FZq3bsTf79QWOTJLWalrosACCzchasampqMrLeLVsaJUljxvQkMI3MWD8AAMiUsWPHtpu2adMmSVJFRUWP7wMASJ+cBaupU6fmqmkAAAa0mTNn5roLAIA2eI8VAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ4IVAAAAAHgiWAEAAACAJ3PO9Xxhs+2S1nm2OUrSDs91DAbUIUAdAtQhQB0C/aEONc650hz3YcBgfEw7anEYtTiMWrRGPQ7Ldi06HCN7FazSwcxWOudOymqj/RB1CFCHAHUIUIcAdchP7PfDqMVh1OIwatEa9Tisv9SCSwEBAAAAwBPBCgAAAAA85SJYPZCDNvsj6hCgDgHqEKAOAeqQn9jvh1GLw6jFYdSiNepxWL+oRdbfYwUAAAAAgw2XAgIAAACAp6wFKzM7y8z+Ymb1ZnZ1ttrtD8yswcxeM7PVZrYyPm2EmT1nZu/Efw/PdT8zwcweNrNtZvZ6yrQOt90Cy+LHyKtmdkLuep5endThejPbFD8uVpvZpJR518Tr8Bcz+1xuep1eZlZlZi+Z2Ztm9oaZzY5Pz6vjoYs65NXxkM+6Gw/NLGJm/xSf/3szi+Wgm1nRg1rMjT9WXjWzF8ysJhf9zIaevk4ys6+YmTOznH8CWqb0pBZmdn7K8+g/ZruP2dKDx0h1fEz5U/xxMqmj9QwGHb2WajM/968bnHMZ/5FUKGmNpDpJRZJekTQxG233hx9JDZJGtZl2q6Sr47evlnRLrvuZoW0/RdIJkl7vbtslTZL0lCST9ElJv891/zNch+slze9g2Ynxx0hEUm38sVOY621IQw3KJZ0Qv32EpLfj25pXx0MXdcir4yFff3oyHkqaIekH8dtTJP1Trvudw1p8RtKQ+O0r8rkW8eWOkPRrSb+TdFKu+53D42K8pD9JGh7/uyzX/c5hLR6QdEX89kRJDbnudwbr0e61VJv5OX/dkK0zVp+QVO+cW+ucOyTpcUnnZKnt/uocSY/Gbz8q6dzcdSVznHO/lrSrzeTOtv0cSY+5wO8kDTOz8qx0NMM6qUNnzpH0uHPuoHPuXUn1Ch5DA5pzbrNz7o/x2x9IektShfLseOiiDp0ZlMdDHuvJeJj6mPhXSaebmWWxj9nSbS2ccy855z6M//k7SZVZ7mO29PR10k2SbpH0UTY7l2U9qcVlku5zzu2WJOfctiz3MVt6Ugsn6cj47aMkvZfF/mVVD15L5fx1Q7aCVYWkDSl/b1TXLyQGGyfpWTNbZWbT49NGO+c2x29vkTQ6N13Lic62PR+Pk5nx09UPp1wOOujrEL+06eOSfq88Ph7a1EHK0+Mhz/RkfyaXcc41SXpf0sis9C67entsT1Pw3+jBqNtaxC9rqnLO/TKbHcuBnhwXEyRNMLP/NLPfmdlZWetddvWkFtdLutDMNkp6UtKV2elav5Tz8ZIPr8iOk51zJ0g6W9I3zOyU1JkuOH+Zlx/PmM/bLun7ksZKOl7SZklLc9qbLDGzEkn/Jumbzrm9qfPy6XjooA55eTwAPWFmF0o6SdJtue5LLphZgaQ7JM3LdV/6iZCCywFPlXSBpAfNbFguO5RDF0h6xDlXqeBSuB/FjxfkQLYKv0lSVcrflfFpecE5tyn+e5uknyk4tbs1cXoy/nuwnsbuSGfbnlfHiXNuq3Ou2TnXIulBHb68a9DWwczCCsLET5xzT8Qn593x0FEd8vF4yFM92Z/JZcwspODynp1Z6V129ejYNrMzJC2U9CXn3MEs9S3buqvFEZI+JullM2tQ8P6RFYP0Ayx6clxslLTCOdcYv0T6bQVBa7DpSS2mSfpnSXLO/ZekqKRRWeld/5Pz8TJbweq/JY03s1ozK1LwZtwVWWo7p8xsqJkdkbgt6UxJryvY/qnxxaZK+nluepgTnW37CkkXxz/V5ZOS3k+5RGzQaXPd75cVHBdSUIcp8U8Gq1UwWPwh2/1Lt/h7RJZLess5d0fKrLw6HjqrQ74dD3msJ+Nh6mPiq5JejJ/NHWy6rYWZfVzSDxWEqsH8D8gua+Gce985N8o5F3POxRS83+xLzrmVueluRvXkMfLvCs5WycxGKbg0cG0W+5gtPanFekmnS5KZHasgWG3Pai/7j5y/bghloxHnXJOZzZT0jIJPOHnYOfdGNtruB0ZL+ln8fcchSf/onHvazP5b0j+b2TRJ6ySdn8M+ZoyZ/VTBk9+o+PW/iyXdrI63/UkFp7HrJX0o6f/LeoczpJM6nGpmxyu49K1B0tclyTn3hpn9s6Q3JTVJ+oZzrjkH3U63/y3pIkmvmdnq+LQFyr/jobM6XJBnx0Ne6mw8NLMbJa10zq1QELx/ZGb1Ct6oPSV3Pc6cHtbiNkklkv4lPo6ud859KWedzpAe1iIv9LAWz0g608zelNQs6VvOuUF3VreHtZin4FLIOQrGj0sG6T9iOnstFZYk59wP1A9eN9ggrT0AAAAAZA1vbgMAAAAATwQrAAAAAPBEsAIAAAAATwQrAAAAAPBEsAIAAAAw6JnZw2a2zcxe78GyNWb2gpm9amYvm1lld/chWGFAM7NzzcyZ2V+lTIuZ2QEz+5OZvWVmfzCzS1LmX2Jm93ayvrPNbKWZvRm//9L49OvNbH4n7b8ab+c1Mzs3Zd4nzez3ZrY6Pv/6lPa3x6cnfiamrSgAAHTAzF4ys8+1mfZNM/u+mZ0cHy//HP+ZnrJMuzHQzB4xs6+2mbYv/jsWH5u/kzJvlJk1Jsbf+Do3tRkLh2Vgs4FUj0g6q4fL3i7pMefc30i6UdL3urtDVr7HCsigCyT9Jv57ccr0Nc65j0uSmdVJesLMzDn3D52tyMw+JuleSZ93zv3ZzAolTe9i+b9V8KD7rHPuXQu+vPU5M1vrnHtV0qOSznfOvRJf1zEpd/8n59zMPm0xAAB981MF34v2TMq0KZKukvSPks51zv0x/qW7z5jZJufcL/vY1ruSPi9pUfzv8yS1/Q7TO51zt/dx/UCvOed+bWax1GlmNlbSfZJKFXz/1WXOuT9LmihpbnyxlxR8MXWXOGOFAcvMSiSdLGmauvgCTefcWgUPjFndrPIqSUviDyY555qdc9/vYvn5kr7rnHs3vvy7Cv6b8a34/DJJm1PW9Wa3GwUAQOb8q6TPm1mRFJxZknS0pM9KesQ590dJcs7tUDAmXu3R1oeS3jKzk+J/f03SP3usD8iUByRd6Zw7UcFru/vj01+RNDl++8uSjjCzkV2tiGCFgewcSU87596WtNPMTuxi2T9K+qsu5kvSxySt6kX7f93B8ivj0yXpTkl/MbOfmdnXzSyastzX2lz+UNyLdgEA6DXn3C5Jf5B0dnzSFAVhp7vxrK8elzTFzKokNUt6r838OSnj4EuebQG9Fv8n/ack/YuZrZb0Q0nl8dnzJX3azP4k6dOSNik4jjtFsMJAdoGCJ23Ff1/QxbKW+e605py7UdJJkp6V9H8kPZ0y+5+cc8en/BzIdv8AAHkpcTmg4r9/2sf1uB5Me1rB2bApkv6pg+XvTBkHP9PHfgA+CiTtafOa7FhJcs6955ybHH9rycL4tD3drQwYcMxshKTTJD1kZg0KLr8738w6C1Afl/RWN6t9Q1JXZ73aerOD5U9UyjXkzrk18csJT5f0t92dQgYAIMN+Lul0MztB0hDn3Cr1YDzrwE5JwxN/xMflHakLOOcOKTgTNk/BZYhAv+Kc2yvpXTM7T5Is8Lfx26PMLJGVrpH0cHfrI1hhoPqqpB8552qcczHnXJWCN8r+XdsF49eQ3y7pnm7WeZukBWY2IX6/AjO7vIvlb5d0TeJNkPHfCyQlPknw8ylBb7yC08d7erJxAABkgnNun4I34j+sw2er7pN0iZkdL0nxfwLeIunWLlb1soLL2ovif18SX29bSyV9O34ZIpBTZvZTSf8l6Rgz22hm0yT9vaRpZvaKgn8mnBNf/FQFb+l4W9JoSUu6Wz+fCoiB6gIFT/qp/i1l+tj4NbFRSR9IWuaceyS+XEjSwbYrdM69ambflPRTMxui4JKG/0hZZFF8fmL5SjP7tqRfmFlYUqOkq5xzq+OLXCTpTjP7UFKTpL93zjXHs9bXzOzklHXPcM79tnclAACgT34q6WeKXxLonNtsZhdKetDMjlBw+fxdzrlfpNynozHwREmrzKxZ0hpJ7f4Z6Zx7Q52f+ZoTbzfhXOdcQ983C+iac66zt420+wh259y/qpdnWs25ji6RBQYvM7tT0jvOufu7XRgAAADoAYIV8oqZPSWpSNJk59z7ue4PAAAABgeCFQAAAAB44sMrAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPBGsAAAAAMATwQoAAAAAPP0/T1JLKGtV6R0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))         #creating Box plots of various attributes\n",
    "for i in enumerate(feat):\n",
    "    plt.subplot(3,2,i[0]+1)\n",
    "    base_color = sns.color_palette()[i[0]]\n",
    "    sns.boxplot(x = d2[i[1]] , color = base_color)\n",
    "    plt.xlabel(i[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 606
    },
    "executionInfo": {
     "elapsed": 270,
     "status": "ok",
     "timestamp": 1623952154929,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "wZTUBeCyU-Kv",
    "outputId": "8a3d673f-586c-4b16-c2fa-380f3643e3bd"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))         #creating Violin plots of various attributes\n",
    "for i in enumerate(feat):\n",
    "    plt.subplot(3,2,i[0]+1)\n",
    "    base_color = sns.color_palette()[i[0]]\n",
    "    sns.violinplot(x = d2[i[1]] , color = base_color)\n",
    "    plt.xlabel(i[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 329
    },
    "executionInfo": {
     "elapsed": 264,
     "status": "ok",
     "timestamp": 1623952154931,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "R9Eo9fU83r9I",
    "outputId": "c76b59ac-c3be-46f7-8ecd-858472a800d1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(d2.corr() , vmin = -1 , vmax = 1 , annot = True , cmap = 'Paired_r')     #heat map to determine correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CwfuYYiv3r9J"
   },
   "source": [
    "# AS SEEN THE PRESENCE OF OUTLIERS IN MSFT, SO SUPRESSING THEIR EFFECT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 229,
     "status": "ok",
     "timestamp": 1623952154934,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "HzMz0h_hp9L3",
    "outputId": "56df31cb-2c70-496e-e0aa-160e38dbd68e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32.88624954223633"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iqr1 = d2['OPEN'].quantile(0.75) - d2['OPEN'].quantile(0.25) \n",
    "iqr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 218,
     "status": "ok",
     "timestamp": 1623952154937,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "b15TJbUDp9L5",
    "outputId": "1640e98b-4400-4513-88de-87fa4373194a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "86.05937385559082\n",
      "-45.48562431335449\n"
     ]
    }
   ],
   "source": [
    "upper_whisker = d2['OPEN'].quantile(0.75)+(iqr1*1.5)\n",
    "lower_whisker = d2['OPEN'].quantile(0.25)-(iqr1*1.5)\n",
    "print(upper_whisker)\n",
    "print(lower_whisker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 206,
     "status": "ok",
     "timestamp": 1623952154939,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "CSwvO6szp9L6",
    "outputId": "4554fdc8-e652-439f-a320-4db55eba0910"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32.80843687057495"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iqr2 = d2['CLOSE'].quantile(0.75) - d2['CLOSE'].quantile(0.25) \n",
    "iqr2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 193,
     "status": "ok",
     "timestamp": 1623952154942,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "x3i8kq0Np9L6",
    "outputId": "aabde43e-9c84-48aa-c55b-15748b23fbcd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85.87265515327454\n",
      "-45.36109232902527\n"
     ]
    }
   ],
   "source": [
    "upper_whisker = d2['CLOSE'].quantile(0.75)+(iqr2*1.5)\n",
    "lower_whisker = d2['CLOSE'].quantile(0.25)-(iqr2*1.5)\n",
    "print(upper_whisker)\n",
    "print(lower_whisker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 180,
     "status": "ok",
     "timestamp": 1623952154944,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "C9QC2OWvp9L7",
    "outputId": "0de9bed8-0af3-4559-b5ad-192f2247508a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "33.125"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iqr3 = d2['HIGH'].quantile(0.75) - d2['HIGH'].quantile(0.25) \n",
    "iqr3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 169,
     "status": "ok",
     "timestamp": 1623952154947,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "lB65LUZ9p9L8",
    "outputId": "a2fbe847-c589-4b8a-b2fd-bcea99fdf067"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "86.6875\n",
      "-45.8125\n"
     ]
    }
   ],
   "source": [
    "upper_whisker = d2['HIGH'].quantile(0.75)+(iqr3*1.5)\n",
    "lower_whisker = d2['HIGH'].quantile(0.25)-(iqr3*1.5)\n",
    "print(upper_whisker)\n",
    "print(lower_whisker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 158,
     "status": "ok",
     "timestamp": 1623952154950,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "kRoezMIvp9L9",
    "outputId": "962eabbc-de2d-439d-f890-894d9c4c1562"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32.29750061035156"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iqr4 = d2['LOW'].quantile(0.75) - d2['LOW'].quantile(0.25) \n",
    "iqr4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 147,
     "status": "ok",
     "timestamp": 1623952154952,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "-Mn0g7XAp9L-",
    "outputId": "06329e0a-d05b-4cf8-9196-3822f47cf7e2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "84.5562515258789\n",
      "-44.633750915527344\n"
     ]
    }
   ],
   "source": [
    "upper_whisker = d2['LOW'].quantile(0.75)+(iqr4*1.5)\n",
    "lower_whisker = d2['LOW'].quantile(0.25)-(iqr4*1.5)\n",
    "print(upper_whisker)\n",
    "print(lower_whisker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 136,
     "status": "ok",
     "timestamp": 1623952154955,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "ZHsI4VcLp9L-",
    "outputId": "c8efc46a-5d45-45b6-e8d4-2a92a4420d32"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24.771977186203003"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iqr5 = d2['ADJ CLOSE'].quantile(0.75) - d2['ADJ CLOSE'].quantile(0.25) \n",
    "iqr5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 125,
     "status": "ok",
     "timestamp": 1623952154957,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "GycE4NrIp9MA",
    "outputId": "468915a2-6776-41a0-bcda-beb4eecd8298"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64.37626564502716\n",
      "-34.71164309978485\n"
     ]
    }
   ],
   "source": [
    "upper_whisker = d2['ADJ CLOSE'].quantile(0.75)+(iqr5*1.5)\n",
    "lower_whisker = d2['ADJ CLOSE'].quantile(0.25)-(iqr5*1.5)\n",
    "print(upper_whisker)\n",
    "print(lower_whisker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 114,
     "status": "ok",
     "timestamp": 1623952154959,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "7K1zldI9p9MB",
    "outputId": "ddb118ba-027e-461e-cc03-715066f7260a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37798000.0"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iqr6 = d2['VOLUME'].quantile(0.75) - d2['VOLUME'].quantile(0.25) \n",
    "iqr6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 103,
     "status": "ok",
     "timestamp": 1623952154962,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "uJqPlefmp9MC",
    "outputId": "71aa7e42-82b5-459e-fda8-15ce8b48557f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "130092200.0\n",
      "-21099800.0\n"
     ]
    }
   ],
   "source": [
    "upper_whisker = d2['VOLUME'].quantile(0.75)+(iqr6*1.5)\n",
    "lower_whisker = d2['VOLUME'].quantile(0.25)-(iqr6*1.5)\n",
    "print(upper_whisker)\n",
    "print(lower_whisker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "executionInfo": {
     "elapsed": 94,
     "status": "ok",
     "timestamp": 1623952154966,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "1Lp9SKbep9MD"
   },
   "outputs": [],
   "source": [
    "d2.loc[d2['OPEN'] >= 86.05937385559082 , 'OPEN'] = 86.05937385559082\n",
    "d2.loc[d2['CLOSE'] >= 85.87265515327454 , 'CLOSE'] = 85.87265515327454\n",
    "d2.loc[d2['HIGH'] >= 86.6875 , 'HIGH'] = 86.6875\n",
    "d2.loc[d2['LOW'] >= 84.5562515258789 , 'LOW'] = 84.5562515258789\n",
    "d2.loc[d2['ADJ CLOSE'] >= 64.37626564502716 , 'ADJ CLOSE'] = 64.37626564502716\n",
    "d2.loc[d2['VOLUME'] >= 130092200.0 , 'VOLUME'] = 130092200.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 297
    },
    "executionInfo": {
     "elapsed": 97,
     "status": "ok",
     "timestamp": 1623952154971,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "owwam5srp9MD",
    "outputId": "b020cfbb-c0e1-4338-e333-f34969388811"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>ADJ CLOSE</th>\n",
       "      <th>VOLUME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8857.000000</td>\n",
       "      <td>8.857000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>28.668768</td>\n",
       "      <td>28.957282</td>\n",
       "      <td>28.299462</td>\n",
       "      <td>28.656075</td>\n",
       "      <td>21.736316</td>\n",
       "      <td>5.753293e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>25.343716</td>\n",
       "      <td>25.530864</td>\n",
       "      <td>24.964792</td>\n",
       "      <td>25.305929</td>\n",
       "      <td>20.154263</td>\n",
       "      <td>2.896535e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.092014</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.090278</td>\n",
       "      <td>0.057340</td>\n",
       "      <td>2.304000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.843750</td>\n",
       "      <td>3.875000</td>\n",
       "      <td>3.812500</td>\n",
       "      <td>3.851563</td>\n",
       "      <td>2.446323</td>\n",
       "      <td>3.559720e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>26.590000</td>\n",
       "      <td>26.879999</td>\n",
       "      <td>26.290001</td>\n",
       "      <td>26.590000</td>\n",
       "      <td>18.686628</td>\n",
       "      <td>5.269680e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>36.730000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>36.110001</td>\n",
       "      <td>36.660000</td>\n",
       "      <td>27.218300</td>\n",
       "      <td>7.339520e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>86.059374</td>\n",
       "      <td>86.687500</td>\n",
       "      <td>84.556252</td>\n",
       "      <td>85.872655</td>\n",
       "      <td>64.376266</td>\n",
       "      <td>1.300922e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              OPEN         HIGH          LOW        CLOSE    ADJ CLOSE  \\\n",
       "count  8857.000000  8857.000000  8857.000000  8857.000000  8857.000000   \n",
       "mean     28.668768    28.957282    28.299462    28.656075    21.736316   \n",
       "std      25.343716    25.530864    24.964792    25.305929    20.154263   \n",
       "min       0.088542     0.092014     0.088542     0.090278     0.057340   \n",
       "25%       3.843750     3.875000     3.812500     3.851563     2.446323   \n",
       "50%      26.590000    26.879999    26.290001    26.590000    18.686628   \n",
       "75%      36.730000    37.000000    36.110001    36.660000    27.218300   \n",
       "max      86.059374    86.687500    84.556252    85.872655    64.376266   \n",
       "\n",
       "             VOLUME  \n",
       "count  8.857000e+03  \n",
       "mean   5.753293e+07  \n",
       "std    2.896535e+07  \n",
       "min    2.304000e+06  \n",
       "25%    3.559720e+07  \n",
       "50%    5.269680e+07  \n",
       "75%    7.339520e+07  \n",
       "max    1.300922e+08  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 96,
     "status": "ok",
     "timestamp": 1623952154974,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "vYQRNvM4p9MI",
    "outputId": "25b11736-4189-4a2a-e60b-7eecac81d1c3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 'OPEN'),\n",
       " (1, 'HIGH'),\n",
       " (2, 'LOW'),\n",
       " (3, 'CLOSE'),\n",
       " (4, 'ADJ CLOSE'),\n",
       " (5, 'VOLUME')]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l = ['OPEN' , 'HIGH' , 'LOW' , 'CLOSE' , 'ADJ CLOSE' , 'VOLUME']\n",
    "list(enumerate(l))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 714
    },
    "executionInfo": {
     "elapsed": 3709,
     "status": "ok",
     "timestamp": 1623952158602,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "zmW485bRp9MJ",
    "outputId": "ad2058ae-4b34-4a52-f41a-2465f8063aad"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,12))#creating Box plots of various columns after removing outliers\n",
    "for i in enumerate(l):\n",
    "    plt.subplot(3,2,i[0]+1)\n",
    "    base_color = sns.color_palette()[i[0]]\n",
    "    sns.boxplot(x = d2[i[1]] , color = base_color)\n",
    "    plt.xlabel(i[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 339,
     "status": "ok",
     "timestamp": 1623952158605,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "UlHYa3WFp9MJ",
    "outputId": "c4d23ec5-98da-4553-8e88-2dd98b493c8d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['TYPE', 'DATE', 'TIME', 'OPEN', 'HIGH', 'LOW', 'CLOSE'], dtype='object')"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 320,
     "status": "ok",
     "timestamp": 1623952158608,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "EAiTfJ41p9MK",
    "outputId": "cb0587e1-0176-4208-d7aa-7a6eefc7cfb2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NIFTY    22805\n",
       "Name: TYPE, dtype: int64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['TYPE'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "executionInfo": {
     "elapsed": 308,
     "status": "ok",
     "timestamp": 1623952158613,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "Swc8oEkKp9ML"
   },
   "outputs": [],
   "source": [
    "data.drop(['TYPE'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 310,
     "status": "ok",
     "timestamp": 1623952158616,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "vz7OLMtrp9ML",
    "outputId": "53fff9a9-c6fc-4b2a-fb9c-c1de990d6bf3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATE</th>\n",
       "      <th>TIME</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:16</td>\n",
       "      <td>13997.90</td>\n",
       "      <td>14020.85</td>\n",
       "      <td>13991.35</td>\n",
       "      <td>14013.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:17</td>\n",
       "      <td>14014.85</td>\n",
       "      <td>14018.55</td>\n",
       "      <td>14008.15</td>\n",
       "      <td>14009.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:18</td>\n",
       "      <td>14008.05</td>\n",
       "      <td>14013.10</td>\n",
       "      <td>14005.05</td>\n",
       "      <td>14012.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:19</td>\n",
       "      <td>14013.65</td>\n",
       "      <td>14019.10</td>\n",
       "      <td>14013.65</td>\n",
       "      <td>14016.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>09:20</td>\n",
       "      <td>14015.45</td>\n",
       "      <td>14017.80</td>\n",
       "      <td>14011.95</td>\n",
       "      <td>14015.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        DATE   TIME      OPEN      HIGH       LOW     CLOSE\n",
       "0 2021-01-01  09:16  13997.90  14020.85  13991.35  14013.15\n",
       "1 2021-01-01  09:17  14014.85  14018.55  14008.15  14009.05\n",
       "2 2021-01-01  09:18  14008.05  14013.10  14005.05  14012.70\n",
       "3 2021-01-01  09:19  14013.65  14019.10  14013.65  14016.20\n",
       "4 2021-01-01  09:20  14015.45  14017.80  14011.95  14015.45"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "executionInfo": {
     "elapsed": 309,
     "status": "ok",
     "timestamp": 1623952158619,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "JE1vf8z4p9MM"
   },
   "outputs": [],
   "source": [
    "data['DAY']=pd.to_datetime(data.DATE, format=\"%Y/%m/%d\").dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "executionInfo": {
     "elapsed": 310,
     "status": "ok",
     "timestamp": 1623952158622,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "AhcCovsWp9MM"
   },
   "outputs": [],
   "source": [
    "data['month']=pd.to_datetime(data['DATE'], format='%Y/%m/%d').dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "executionInfo": {
     "elapsed": 312,
     "status": "ok",
     "timestamp": 1623952158626,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "bscGP7PIp9MN"
   },
   "outputs": [],
   "source": [
    "data['YEAR']=pd.to_datetime(data['DATE'], format='%Y/%m/%d').dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "executionInfo": {
     "elapsed": 313,
     "status": "ok",
     "timestamp": 1623952158629,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "ddFuleFDp9MN"
   },
   "outputs": [],
   "source": [
    "data.drop(['DATE'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "executionInfo": {
     "elapsed": 316,
     "status": "ok",
     "timestamp": 1623952158633,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "HY_Cm_6Lp9MO"
   },
   "outputs": [],
   "source": [
    "data['Time_hour']=pd.to_datetime(data['TIME']).dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "executionInfo": {
     "elapsed": 320,
     "status": "ok",
     "timestamp": 1623952158639,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "TF5YaS8tp9MO"
   },
   "outputs": [],
   "source": [
    "data['time_minute']=pd.to_datetime(data['TIME']).dt.minute\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "executionInfo": {
     "elapsed": 324,
     "status": "ok",
     "timestamp": 1623952158644,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "bZ19KG5vp9MP"
   },
   "outputs": [],
   "source": [
    "data.drop(['TIME'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 326,
     "status": "ok",
     "timestamp": 1623952158648,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "Zev6swZbp9MP",
    "outputId": "ebe8ce43-743a-4e85-b091-46a41b9e5e01"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>DAY</th>\n",
       "      <th>month</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>Time_hour</th>\n",
       "      <th>time_minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13997.90</td>\n",
       "      <td>14020.85</td>\n",
       "      <td>13991.35</td>\n",
       "      <td>14013.15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14014.85</td>\n",
       "      <td>14018.55</td>\n",
       "      <td>14008.15</td>\n",
       "      <td>14009.05</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14008.05</td>\n",
       "      <td>14013.10</td>\n",
       "      <td>14005.05</td>\n",
       "      <td>14012.70</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14013.65</td>\n",
       "      <td>14019.10</td>\n",
       "      <td>14013.65</td>\n",
       "      <td>14016.20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14015.45</td>\n",
       "      <td>14017.80</td>\n",
       "      <td>14011.95</td>\n",
       "      <td>14015.45</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       OPEN      HIGH       LOW     CLOSE  DAY  month  YEAR  Time_hour  \\\n",
       "0  13997.90  14020.85  13991.35  14013.15    1      1  2021          9   \n",
       "1  14014.85  14018.55  14008.15  14009.05    1      1  2021          9   \n",
       "2  14008.05  14013.10  14005.05  14012.70    1      1  2021          9   \n",
       "3  14013.65  14019.10  14013.65  14016.20    1      1  2021          9   \n",
       "4  14015.45  14017.80  14011.95  14015.45    1      1  2021          9   \n",
       "\n",
       "   time_minute  \n",
       "0           16  \n",
       "1           17  \n",
       "2           18  \n",
       "3           19  \n",
       "4           20  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4gwnAIF3p9MQ"
   },
   "source": [
    "# MSFT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "executionInfo": {
     "elapsed": 327,
     "status": "ok",
     "timestamp": 1623952158652,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "c-i13URgp9MR"
   },
   "outputs": [],
   "source": [
    "df2['DAY']=pd.to_datetime(df2.DATE, format=\"%Y/%m/%d\").dt.day\n",
    "\n",
    "df2['month']=pd.to_datetime(df2['DATE'], format='%Y/%m/%d').dt.month\n",
    "\n",
    "df2['YEAR']=pd.to_datetime(df2['DATE'], format='%Y/%m/%d').dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "executionInfo": {
     "elapsed": 327,
     "status": "ok",
     "timestamp": 1623952158654,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "_rhWGA83p9MS"
   },
   "outputs": [],
   "source": [
    "df2.drop(['DATE'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 328,
     "status": "ok",
     "timestamp": 1623952158656,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "CycWRN4Ep9MS",
    "outputId": "0aa6b005-408d-4486-b7cb-c8b6c063bd08"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>ADJ CLOSE</th>\n",
       "      <th>VOLUME</th>\n",
       "      <th>DAY</th>\n",
       "      <th>month</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       OPEN      HIGH       LOW     CLOSE  ADJ CLOSE      VOLUME  DAY  month  \\\n",
       "0  0.088542  0.101563  0.088542  0.097222   0.061751  1031788800   13      3   \n",
       "1  0.097222  0.102431  0.097222  0.100694   0.063956   308160000   14      3   \n",
       "2  0.100694  0.103299  0.100694  0.102431   0.065059   133171200   17      3   \n",
       "3  0.102431  0.103299  0.098958  0.099826   0.063405    67766400   18      3   \n",
       "4  0.099826  0.100694  0.097222  0.098090   0.062302    47894400   19      3   \n",
       "\n",
       "   YEAR  \n",
       "0  1986  \n",
       "1  1986  \n",
       "2  1986  \n",
       "3  1986  \n",
       "4  1986  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yLe39vt4p9MT"
   },
   "source": [
    "# DATAFRAME MODEL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 327,
     "status": "ok",
     "timestamp": 1623952158659,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "N050zsipp9MU",
    "outputId": "2b6fef4c-9032-4acc-e92d-eff3263114f7"
   },
   "outputs": [],
   "source": [
    "X = data.loc[:,data.columns!=\"CLOSE\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 315,
     "status": "ok",
     "timestamp": 1623952158664,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "g3-oJZvvp9MV",
    "outputId": "cbee3784-94fb-4adf-ebe5-e0c6f7f09a36"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['OPEN', 'HIGH', 'LOW', 'CLOSE', 'DAY', 'month', 'YEAR', 'Time_hour',\n",
       "       'time_minute'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 304,
     "status": "ok",
     "timestamp": 1623952158666,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "JgUAdq-6p9MW",
    "outputId": "cd21a9ac-9102-4923-9206-567806349c24"
   },
   "outputs": [],
   "source": [
    "#X.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 291,
     "status": "ok",
     "timestamp": 1623952158668,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "CmEkH-kzp9MW",
    "outputId": "1d474d94-ec51-4eba-fe9b-82e5a442c0b3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>DAY</th>\n",
       "      <th>month</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>Time_hour</th>\n",
       "      <th>time_minute</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13997.90</td>\n",
       "      <td>14020.85</td>\n",
       "      <td>13991.35</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14014.85</td>\n",
       "      <td>14018.55</td>\n",
       "      <td>14008.15</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14008.05</td>\n",
       "      <td>14013.10</td>\n",
       "      <td>14005.05</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14013.65</td>\n",
       "      <td>14019.10</td>\n",
       "      <td>14013.65</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14015.45</td>\n",
       "      <td>14017.80</td>\n",
       "      <td>14011.95</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       OPEN      HIGH       LOW  DAY  month  YEAR  Time_hour  time_minute\n",
       "0  13997.90  14020.85  13991.35    1      1  2021          9           16\n",
       "1  14014.85  14018.55  14008.15    1      1  2021          9           17\n",
       "2  14008.05  14013.10  14005.05    1      1  2021          9           18\n",
       "3  14013.65  14019.10  14013.65    1      1  2021          9           19\n",
       "4  14015.45  14017.80  14011.95    1      1  2021          9           20"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "executionInfo": {
     "elapsed": 290,
     "status": "ok",
     "timestamp": 1623952158671,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "iVvDaCcrp9MX"
   },
   "outputs": [],
   "source": [
    "y=data['CLOSE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 291,
     "status": "ok",
     "timestamp": 1623952158676,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "td3C3mK-p9MY",
    "outputId": "ecc6719e-75a2-4daa-abf4-1bfe30b045eb"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    14013.15\n",
       "1    14009.05\n",
       "2    14012.70\n",
       "3    14016.20\n",
       "4    14015.45\n",
       "Name: CLOSE, dtype: float64"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4H7kfhcWp9MZ"
   },
   "source": [
    "# TEST TRAIN SPLIT DATAFRAME"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "executionInfo": {
     "elapsed": 281,
     "status": "ok",
     "timestamp": 1623952158681,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "3llpAkUtp9MZ"
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "executionInfo": {
     "elapsed": 282,
     "status": "ok",
     "timestamp": 1623952158684,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "sDlXTYfCp9Ma"
   },
   "outputs": [],
   "source": [
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 283,
     "status": "ok",
     "timestamp": 1623952158686,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "aD9jb9mop9Ma",
    "outputId": "d36752ba-ebac-4291-ca44-22569ee95be4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(18244, 8) (4561, 8) (18244,) (4561,)\n"
     ]
    }
   ],
   "source": [
    "print(X_train.shape,X_test.shape,y_train.shape,y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "knmxrrxlp9Mb"
   },
   "source": [
    "# Standardizing Data\n",
    "\n",
    "https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "executionInfo": {
     "elapsed": 268,
     "status": "ok",
     "timestamp": 1623952158688,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "soEQSc13p9Mb"
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 269,
     "status": "ok",
     "timestamp": 1623952158690,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "3uD22X-Jp9Mc",
    "outputId": "b67e9288-ba2b-4be3-bed2-97beacceee03"
   },
   "outputs": [],
   "source": [
    "sc = StandardScaler().fit(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "executionInfo": {
     "elapsed": 274,
     "status": "ok",
     "timestamp": 1623952158698,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "s1p1XAuep9Md"
   },
   "outputs": [],
   "source": [
    "X_train_std=sc.transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 273,
     "status": "ok",
     "timestamp": 1623952158700,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "5nRqV5FPp9Me",
    "outputId": "29a50bf1-b1e7-4712-c094-cebe18fc427b"
   },
   "outputs": [],
   "source": [
    "X_test_std=sc.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "id": "0mHrFPGtp9Mf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.05314965,  1.04448231,  1.04056985, ...,  0.        ,\n",
       "         0.57862783,  1.57763269],\n",
       "       [ 1.11093268,  1.12650169,  1.11958297, ...,  0.        ,\n",
       "        -1.03034734, -1.47114428],\n",
       "       [-2.22510865, -2.15991211, -2.28835392, ...,  0.        ,\n",
       "        -1.5666724 , -0.76758037],\n",
       "       ...,\n",
       "       [ 1.20151495,  1.22261814,  1.21178628, ...,  0.        ,\n",
       "        -1.5666724 ,  0.52228681],\n",
       "       [ 1.07569912,  1.06575609,  1.06528546, ...,  0.        ,\n",
       "         0.04230277,  1.57763269],\n",
       "       [-0.57515319, -0.57860421, -0.56504839, ...,  0.        ,\n",
       "        -1.03034734,  0.87406877]])"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "executionInfo": {
     "elapsed": 263,
     "status": "ok",
     "timestamp": 1623952158704,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "sAeVFEY1p9Mf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0.42509547,  0.41780303,  0.41128224, ...,  0.        ,\n",
       "        -1.03034734, -0.82621069],\n",
       "       [ 1.34834279,  1.35589962,  1.35854322, ...,  0.        ,\n",
       "         0.57862783, -0.35716808],\n",
       "       [-0.69059114, -0.68240998, -0.68209537, ...,  0.        ,\n",
       "        -1.03034734, -1.2952533 ],\n",
       "       ...,\n",
       "       [ 1.13463525,  1.12944926,  1.13981647, ...,  0.        ,\n",
       "        -0.49402229, -1.41251396],\n",
       "       [-1.69532407, -1.70047546, -1.6867273 , ...,  0.        ,\n",
       "         1.11495288,  0.9326991 ],\n",
       "       [-1.11531566, -1.11621557, -1.10815152, ...,  0.        ,\n",
       "         0.57862783,  0.9326991 ]])"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "id": "mPbKmYQop9Mg"
   },
   "outputs": [],
   "source": [
    "from sklearn.svm import SVR\n",
    "svr=SVR(kernel='poly',degree=3,C=100,coef0=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "executionInfo": {
     "elapsed": 254,
     "status": "ok",
     "timestamp": 1623952158711,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "SRAt_ddxp9Mh"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVR(C=100, coef0=1, kernel='poly')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svr.fit(X_train_std,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "executionInfo": {
     "elapsed": 256,
     "status": "ok",
     "timestamp": 1623952158714,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "SqE9SIOZp9Mi"
   },
   "outputs": [],
   "source": [
    "y_test_pred=svr.predict(X_test_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "executionInfo": {
     "elapsed": 258,
     "status": "ok",
     "timestamp": 1623952158718,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "gu9ldetzp9Mi"
   },
   "outputs": [],
   "source": [
    "y_train_pred=svr.predict(X_train_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "executionInfo": {
     "elapsed": 259,
     "status": "ok",
     "timestamp": 1623952158720,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "jzNFThyYp9Mi"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([14864.29115551, 15236.70494189, 14440.2064023 , ...,\n",
       "       15147.8011229 , 14044.22103228, 14271.64610771])"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "executionInfo": {
     "elapsed": 263,
     "status": "ok",
     "timestamp": 1623952158726,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "zUkyZGDTp9Mj"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([15108.47972806, 15146.49787682, 13838.45094957, ...,\n",
       "       15184.00059249, 15117.92916152, 14482.25595332])"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "executionInfo": {
     "elapsed": 251,
     "status": "ok",
     "timestamp": 1623952158731,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "t99NhD3jp9Mk"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error,r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "executionInfo": {
     "elapsed": 252,
     "status": "ok",
     "timestamp": 1623952158734,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "-ZKED_Yip9Ml"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.338761384878349"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_squared_error(y_test, y_test_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "executionInfo": {
     "elapsed": 253,
     "status": "ok",
     "timestamp": 1623952158736,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "xx7TZIZ7p9Mm"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9999531217589097"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y_test, y_test_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MSFT MODEL WITHOUT OUTLIER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 254,
     "status": "ok",
     "timestamp": 1623952158740,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "h2piAKk6p9Mm",
    "outputId": "b00d9727-72af-4847-ba74-418e38216da5"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>ADJ CLOSE</th>\n",
       "      <th>VOLUME</th>\n",
       "      <th>DAY</th>\n",
       "      <th>month</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       OPEN      HIGH       LOW     CLOSE  ADJ CLOSE      VOLUME  DAY  month  \\\n",
       "0  0.088542  0.101563  0.088542  0.097222   0.061751  1031788800   13      3   \n",
       "1  0.097222  0.102431  0.097222  0.100694   0.063956   308160000   14      3   \n",
       "2  0.100694  0.103299  0.100694  0.102431   0.065059   133171200   17      3   \n",
       "3  0.102431  0.103299  0.098958  0.099826   0.063405    67766400   18      3   \n",
       "4  0.099826  0.100694  0.097222  0.098090   0.062302    47894400   19      3   \n",
       "\n",
       "   YEAR  \n",
       "0  1986  \n",
       "1  1986  \n",
       "2  1986  \n",
       "3  1986  \n",
       "4  1986  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 204
    },
    "executionInfo": {
     "elapsed": 242,
     "status": "ok",
     "timestamp": 1623952158742,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "5QGw7wYcp9Mn",
    "outputId": "19057f8d-e53c-49f2-cda2-5f11b9ce13ea"
   },
   "outputs": [],
   "source": [
    "X1=df2.loc[:,df2.columns!='CLOSE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OPEN</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "      <th>ADJ CLOSE</th>\n",
       "      <th>VOLUME</th>\n",
       "      <th>DAY</th>\n",
       "      <th>month</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       OPEN      HIGH       LOW  ADJ CLOSE      VOLUME  DAY  month  YEAR\n",
       "0  0.088542  0.101563  0.088542   0.061751  1031788800   13      3  1986\n",
       "1  0.097222  0.102431  0.097222   0.063956   308160000   14      3  1986\n",
       "2  0.100694  0.103299  0.100694   0.065059   133171200   17      3  1986\n",
       "3  0.102431  0.103299  0.098958   0.063405    67766400   18      3  1986\n",
       "4  0.099826  0.100694  0.097222   0.062302    47894400   19      3  1986"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "id": "WmVFLEjTp9Mn"
   },
   "outputs": [],
   "source": [
    "y1=df2['CLOSE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "executionInfo": {
     "elapsed": 241,
     "status": "ok",
     "timestamp": 1623952158745,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "CTGx4jGap9Mo"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.097222\n",
       "1    0.100694\n",
       "2    0.102431\n",
       "3    0.099826\n",
       "4    0.098090\n",
       "Name: CLOSE, dtype: float64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 131,
     "status": "ok",
     "timestamp": 1623952183316,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "Aa89hdeDp9Mu",
    "outputId": "29eebe6f-bb38-42ca-8a87-aa9bee56c8d4"
   },
   "outputs": [],
   "source": [
    "X1_train,X1_test,y1_train,y1_test=train_test_split(X1,y1,test_size=0.2,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 118,
     "status": "ok",
     "timestamp": 1623952183318,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "7sK0xu3Mp9Mv",
    "outputId": "873981ae-25a7-4de2-c062-24c49812d0ca"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7085, 8) (1772, 8) (7085,) (1772,)\n"
     ]
    }
   ],
   "source": [
    "print(X1_train.shape,X1_test.shape,y1_train.shape,y1_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 93,
     "status": "ok",
     "timestamp": 1623952183320,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "7AKpNZXtp9Mx",
    "outputId": "3104b15c-9a95-4b6d-9fb5-7d42a7c05a70"
   },
   "outputs": [],
   "source": [
    "sc1=StandardScaler().fit(X1_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 79,
     "status": "ok",
     "timestamp": 1623952183321,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "LTm1_dT3p9Mx",
    "outputId": "09fcfbb2-dccf-4915-b980-4f7cd592521a"
   },
   "outputs": [],
   "source": [
    "X1_train_std=sc1.transform(X1_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "executionInfo": {
     "elapsed": 67,
     "status": "ok",
     "timestamp": 1623952183322,
     "user": {
      "displayName": "abhishek sharma",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjnrxUa1ihLAGy0WbVku6ClyyAnQ2GApleXBVJ4=s64",
      "userId": "11200093688168956717"
     },
     "user_tz": 420
    },
    "id": "la2vW9itp9My"
   },
   "outputs": [],
   "source": [
    "X1_test_std=sc1.transform(X1_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.10197221, -0.10840858, -0.10376951, ...,  0.70880399,\n",
       "        -1.02544085, -0.12267646],\n",
       "       [ 0.24038047,  0.23429234,  0.17641548, ..., -1.3443867 ,\n",
       "        -0.73464481, -0.31974318],\n",
       "       [-0.22056844, -0.21923667, -0.21621761, ..., -0.08965905,\n",
       "         0.42853938,  0.76412375],\n",
       "       ...,\n",
       "       [-0.21697802, -0.22301238, -0.21712442, ..., -0.08965905,\n",
       "        -0.15305271,  0.17292361],\n",
       "       [ 0.10994705,  0.12532433,  0.11265334, ..., -0.6599898 ,\n",
       "        -1.3162369 , -0.41827654],\n",
       "       [-0.55133637, -0.55346999, -0.5525983 , ...,  1.73539934,\n",
       "         1.59172357, -0.71387661]])"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1_train_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "svm1=SVR(kernel='poly',degree=3,C=100,coef0=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVR(C=100, coef0=1, kernel='poly')"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm1.fit(X1_train_std,y1_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1_train_pred=svm1.predict(X1_train_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y1_test_pred=svm1.predict(X1_test_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02974055972788323"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_squared_error(y1_test, Y1_test_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9999831003842727"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y1_test, Y1_test_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MSFT WITH OUTLIER"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1986-03-13</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1986-03-14</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1986-03-17</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1986-03-18</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1986-03-19</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Open      High       Low     Close  Adj Close      Volume\n",
       "0  1986-03-13  0.088542  0.101563  0.088542  0.097222   0.061751  1031788800\n",
       "1  1986-03-14  0.097222  0.102431  0.097222  0.100694   0.063956   308160000\n",
       "2  1986-03-17  0.100694  0.103299  0.100694  0.102431   0.065059   133171200\n",
       "3  1986-03-18  0.102431  0.103299  0.098958  0.099826   0.063405    67766400\n",
       "4  1986-03-19  0.099826  0.100694  0.097222  0.098090   0.062302    47894400"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "msft['DAY']=pd.to_datetime(msft.Date, format=\"%Y/%m/%d\").dt.day\n",
    "\n",
    "msft['month']=pd.to_datetime(msft['Date'], format='%Y/%m/%d').dt.month\n",
    "\n",
    "msft['YEAR']=pd.to_datetime(msft['Date'], format='%Y/%m/%d').dt.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "msft.drop(['Date'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>DAY</th>\n",
       "      <th>month</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.101563</td>\n",
       "      <td>0.088542</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.061751</td>\n",
       "      <td>1031788800</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.063956</td>\n",
       "      <td>308160000</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.065059</td>\n",
       "      <td>133171200</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.102431</td>\n",
       "      <td>0.103299</td>\n",
       "      <td>0.098958</td>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.063405</td>\n",
       "      <td>67766400</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.099826</td>\n",
       "      <td>0.100694</td>\n",
       "      <td>0.097222</td>\n",
       "      <td>0.098090</td>\n",
       "      <td>0.062302</td>\n",
       "      <td>47894400</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Open      High       Low     Close  Adj Close      Volume  DAY  month  \\\n",
       "0  0.088542  0.101563  0.088542  0.097222   0.061751  1031788800   13      3   \n",
       "1  0.097222  0.102431  0.097222  0.100694   0.063956   308160000   14      3   \n",
       "2  0.100694  0.103299  0.100694  0.102431   0.065059   133171200   17      3   \n",
       "3  0.102431  0.103299  0.098958  0.099826   0.063405    67766400   18      3   \n",
       "4  0.099826  0.100694  0.097222  0.098090   0.062302    47894400   19      3   \n",
       "\n",
       "   YEAR  \n",
       "0  1986  \n",
       "1  1986  \n",
       "2  1986  \n",
       "3  1986  \n",
       "4  1986  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2=msft.loc[:,msft.columns!='Close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "y2=msft['Close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2_train,X2_test,y2_train,y2_test=train_test_split(X2,y2,test_size=0.2,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7085, 8) (1772, 8) (7085,) (1772,)\n"
     ]
    }
   ],
   "source": [
    "print(X2_train.shape,X2_test.shape,y2_train.shape,y2_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc2=StandardScaler().fit(X2_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2_train_std=sc2.transform(X2_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "X2_test_std=sc2.transform(X2_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.10197221, -0.10840858, -0.10376951, ...,  0.70880399,\n",
       "        -1.02544085, -0.12267646],\n",
       "       [ 0.24038047,  0.23429234,  0.17641548, ..., -1.3443867 ,\n",
       "        -0.73464481, -0.31974318],\n",
       "       [-0.22056844, -0.21923667, -0.21621761, ..., -0.08965905,\n",
       "         0.42853938,  0.76412375],\n",
       "       ...,\n",
       "       [-0.21697802, -0.22301238, -0.21712442, ..., -0.08965905,\n",
       "        -0.15305271,  0.17292361],\n",
       "       [ 0.10994705,  0.12532433,  0.11265334, ..., -0.6599898 ,\n",
       "        -1.3162369 , -0.41827654],\n",
       "       [-0.55133637, -0.55346999, -0.5525983 , ...,  1.73539934,\n",
       "         1.59172357, -0.71387661]])"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X2_train_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "svm2=SVR(kernel='poly',degree=3,C=100,coef0=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVR(C=100, coef0=1, kernel='poly')"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm2.fit(X2_train_std,y2_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "y2_train_pred=svm1.predict(X2_train_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "y2_test_pred=svm1.predict(X2_test_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.02974055972788323"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_squared_error(y2_test, y2_test_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9999831003842727"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y2_test, y2_test_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Saving model in pickle\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: joblib in /opt/anaconda3/lib/python3.8/site-packages (0.16.0)\n",
      "\u001b[33mWARNING: You are using pip version 21.1.2; however, version 21.1.3 is available.\n",
      "You should consider upgrading via the '/opt/anaconda3/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip install joblib\n",
    "import pickle\n",
    "import joblib\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['model1.pkl']"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "joblib.dump(svr,'model1.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['model2.pkl']"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "joblib.dump(svm1,'model2.pkl')"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "STOCK_PRICE_PREDICTION_TECHNOCOLABS222.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
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