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Updated libraries in Day 1_Data Preprocessing #102

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6 changes: 3 additions & 3 deletions Code/Day 1_Data PreProcessing.md
Original file line number Diff line number Diff line change
Expand Up @@ -19,8 +19,8 @@ Y = dataset.iloc[ : , 3].values
```
## Step 3: Handling the missing data
```python
from sklearn.preprocessing import Imputer
imputer = Imputer(missing_values = "NaN", strategy = "mean", axis = 0)
from sklearn.preprocessing import SimpleImputer
imputer = SimpleImputer(missing_values=np.nan, strategy='mean')
imputer = imputer.fit(X[ : , 1:3])
X[ : , 1:3] = imputer.transform(X[ : , 1:3])
```
Expand All @@ -39,7 +39,7 @@ Y = labelencoder_Y.fit_transform(Y)
```
## Step 5: Splitting the datasets into training sets and Test sets
```python
from sklearn.cross_validation import train_test_split
from sklearn.model_selection import train_test_split
X_train, X_test, Y_train, Y_test = train_test_split( X , Y , test_size = 0.2, random_state = 0)
```

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