GitHub - ashBabu/Machine-Learning

Machine Learning

This page contains various tutorials for various regression methods and python libraries The page is continuosly updated as and when I learn new things. Most of the materials in this are collated under one umbrella by me from various online sources like IBM and various others. Anybody is welcome to use

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
Trading		Trading
dask-worker-space		dask-worker-space
data		data
intradayData		intradayData
novel-corona-virus-2019-dataset		novel-corona-virus-2019-dataset
pics		pics
.gitignore		.gitignore
18_reinforcement_learning.ipynb		18_reinforcement_learning.ipynb
BayesianRegression.ipynb		BayesianRegression.ipynb
ChurnData.csv		ChurnData.csv
Clus-DBSCN-weather.ipynb		Clus-DBSCN-weather.ipynb
Covid-19.ipynb		Covid-19.ipynb
Covid2019-2.ipynb		Covid2019-2.ipynb
Cust_Segmentation.csv		Cust_Segmentation.csv
Decision-Trees.ipynb		Decision-Trees.ipynb
FuelConsumption.csv		FuelConsumption.csv
Gaussian Kernal (RBF) Regression using Pytorch.ipynb		Gaussian Kernal (RBF) Regression using Pytorch.ipynb
Gaussian Process Regression.ipynb		Gaussian Process Regression.ipynb
GaussianProcess_.pdf		GaussianProcess_.pdf
Hierarchical-Clustering.ipynb		Hierarchical-Clustering.ipynb
Historic COVID-19 Dashboard Data.csv		Historic COVID-19 Dashboard Data.csv
HousingPrices_convolutons_pooling_callbacks.ipynb		HousingPrices_convolutons_pooling_callbacks.ipynb
K-Means-Customer-Seg.ipynb		K-Means-Customer-Seg.ipynb
K-Nearest-neighbors-Clustering.ipynb		K-Nearest-neighbors-Clustering.ipynb
Learning to predict digits (MNIST) with TF and keras.ipynb		Learning to predict digits (MNIST) with TF and keras.ipynb
Linear-Regression.ipynb		Linear-Regression.ipynb
Logistic-Regression.ipynb		Logistic-Regression.ipynb
NoneLinearRegression.ipynb		NoneLinearRegression.ipynb
Numpy&MatPlotLib.ipynb		Numpy&MatPlotLib.ipynb
Pandas.ipynb		Pandas.ipynb
Pytorch.ipynb		Pytorch.ipynb
README.md		README.md
RecSys-Collaborative-Filtering-movies.ipynb		RecSys-Collaborative-Filtering-movies.ipynb
RecSys-Content-Based-movies.ipynb		RecSys-Content-Based-movies.ipynb
Scikit-Learn.ipynb		Scikit-Learn.ipynb
SupportVectorMachines.ipynb		SupportVectorMachines.ipynb
Untitled.ipynb		Untitled.ipynb
Weather Forecasting Time Series Forcasting LSTM (RNN).ipynb		Weather Forecasting Time Series Forcasting LSTM (RNN).ipynb
Weather forecasting_Facebook Prophet.ipynb		Weather forecasting_Facebook Prophet.ipynb
_config.yml		_config.yml
cars_clus.csv		cars_clus.csv
cell_samples.csv		cell_samples.csv
china_gdp.csv		china_gdp.csv
drug200.csv		drug200.csv
drugtree.png		drugtree.png
moviedataset.zip		moviedataset.zip
moviedataset.zip.part		moviedataset.zip.part
scikit-learn_cheat_sheet.png		scikit-learn_cheat_sheet.png
teleCust1000t.csv		teleCust1000t.csv
tensorFlow.ipynb		tensorFlow.ipynb
tf_keras_for_Researchers_Crash_Course.ipynb		tf_keras_for_Researchers_Crash_Course.ipynb
train_and_evaluate_models_tensorflow.ipynb		train_and_evaluate_models_tensorflow.ipynb
two_layer_net_nn.ipynb		two_layer_net_nn.ipynb
weather-stations20140101-20141231.csv		weather-stations20140101-20141231.csv

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