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Name		Name	Last commit message	Last commit date
AdaBoost_Algorithm.ipynb		AdaBoost_Algorithm.ipynb
Assignments_and_Solutions_on_the_Decision_Tree.ipynb		Assignments_and_Solutions_on_the_Decision_Tree.ipynb
Bagging_algorithms.ipynb		Bagging_algorithms.ipynb
Categorical_Data_and_One_Hot_Encoding.ipynb		Categorical_Data_and_One_Hot_Encoding.ipynb
Churn_Modelling.csv		Churn_Modelling.csv
Codes and other relevant explanations for supervised learning (Part 1)_Session by Sabyasachi Mukhopadhyay_August 3.pdf		Codes and other relevant explanations for supervised learning (Part 1)_Session by Sabyasachi Mukhopadhyay_August 3.pdf
Codes and other relevant explanations for supervised learning (Part 2)_Session by Sabyasachi Mukhopadhyay_August 10.pdf		Codes and other relevant explanations for supervised learning (Part 2)_Session by Sabyasachi Mukhopadhyay_August 10.pdf
Cross_Validation.ipynb		Cross_Validation.ipynb
DecisionTree_RandomForest_SupervisedLearning_(Part_2).ipynb		DecisionTree_RandomForest_SupervisedLearning_(Part_2).ipynb
Decision_Tree.ipynb		Decision_Tree.ipynb
Decision_Tree_and_Ensemble_Learning.ipynb		Decision_Tree_and_Ensemble_Learning.ipynb
Generating_a_confusion_matrix_with_a_heatmap_using_row_and_column_labeling.ipynb		Generating_a_confusion_matrix_with_a_heatmap_using_row_and_column_labeling.ipynb
GradientBoosting_vs_AdaBoost_vs_XGBoost_vs_CatBoost_vs_LightGBM.ipynb		GradientBoosting_vs_AdaBoost_vs_XGBoost_vs_CatBoost_vs_LightGBM.ipynb
Gradient_Boosting_Algorithm_(Classification_+_Regression).ipynb		Gradient_Boosting_Algorithm_(Classification_+_Regression).ipynb
Grid Search.ipynb		Grid Search.ipynb
Hierarchical_Clustering.ipynb		Hierarchical_Clustering.ipynb
Iris.csv		Iris.csv
KNN_Classifier.ipynb		KNN_Classifier.ipynb
K_Means_Clustering.ipynb		K_Means_Clustering.ipynb
Linear_Discriminant_Analysis_(LDA).ipynb		Linear_Discriminant_Analysis_(LDA).ipynb
Linear_Regression.ipynb		Linear_Regression.ipynb
Logistic_Regression.ipynb		Logistic_Regression.ipynb
Mini_Batch_Gradient_Descent.ipynb		Mini_Batch_Gradient_Descent.ipynb
Multi_Layer_Perceptron_(MLP)_Learning.ipynb		Multi_Layer_Perceptron_(MLP)_Learning.ipynb
Naïve_Bayes_Classifier.ipynb		Naïve_Bayes_Classifier.ipynb
PCA.ipynb		PCA.ipynb
Plotting_ROC_Curves.ipynb		Plotting_ROC_Curves.ipynb
Random_Forest_Classifier.ipynb		Random_Forest_Classifier.ipynb
Random_Search.ipynb		Random_Search.ipynb
S.Mukhopadhyay_Code_Notebook_Securing_User_Authentication_using_AI.ipynb		S.Mukhopadhyay_Code_Notebook_Securing_User_Authentication_using_AI.ipynb
SVM(different_kernels)_KNN_NaiveBayes_SupervisedLearning(Part_1).ipynb		SVM(different_kernels)_KNN_NaiveBayes_SupervisedLearning(Part_1).ipynb
Simple_Linear_Regression_&_Multiple_Regression.ipynb		Simple_Linear_Regression_&_Multiple_Regression.ipynb
Single_Layer_Perceptron.ipynb		Single_Layer_Perceptron.ipynb
Singular_Value_Decomposition_(SVD).ipynb		Singular_Value_Decomposition_(SVD).ipynb
Stochastic_Gradient_Descent_(SGD).ipynb		Stochastic_Gradient_Descent_(SGD).ipynb
Support_Vector_Machine_(SVM).ipynb		Support_Vector_Machine_(SVM).ipynb
Wine.csv		Wine.csv
XGBoost_(eXtreme_Gradient_Boosting).ipynb		XGBoost_(eXtreme_Gradient_Boosting).ipynb
data.csv		data.csv
diabetes.csv		diabetes.csv
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