avr2002 / mL Public

Notes from Machine Learning using Python by Manaranjan Pradhan, U Dinesh Kumar

amzn.eu/d/6xgzo0l

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Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
Data		Data
02.Simple_Linear_Regression.ipynb		02.Simple_Linear_Regression.ipynb
03.Multiple_Linear_Regression.ipynb		03.Multiple_Linear_Regression.ipynb
04.Binary Logistic Regression & Decision Tree.ipynb		04.Binary Logistic Regression & Decision Tree.ipynb
05.Gradient Descent, Ridge & LASSO Regression.ipynb		05.Gradient Descent, Ridge & LASSO Regression.ipynb
06.KNN,Random Forest,Boosting.ipynb		06.KNN,Random Forest,Boosting.ipynb
07.Clustering.ipynb		07.Clustering.ipynb
08.Forecasting.ipynb		08.Forecasting.ipynb
AdaBoost.png		AdaBoost.png
KNN.png		KNN.png
README.md		README.md
bank_metadata.png		bank_metadata.png
confusion_matrix.png		confusion_matrix.png
credit_card_metadata_1.png		credit_card_metadata_1.png
credit_card_metadata_2.png		credit_card_metadata_2.png
ensemble_methods.png		ensemble_methods.png
k-fold_cross_validation.png		k-fold_cross_validation.png
lasso_ridge_terms.png		lasso_ridge_terms.png
random_forest_parameters.png		random_forest_parameters.png