├── AdaBoost_Algorithm.ipynb ├── Assignments_and_Solutions_on_the_Decision_Tree.ipynb ├── Bagging_algorithms.ipynb ├── Categorical_Data_and_One_Hot_Encoding.ipynb ├── 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 2)_Session by Sabyasachi Mukhopadhyay_August 10.pdf ├── Cross_Validation.ipynb ├── DecisionTree_RandomForest_SupervisedLearning_(Part_2).ipynb ├── Decision_Tree.ipynb ├── Decision_Tree_and_Ensemble_Learning.ipynb ├── Generating_a_confusion_matrix_with_a_heatmap_using_row_and_column_labeling.ipynb ├── GradientBoosting_vs_AdaBoost_vs_XGBoost_vs_CatBoost_vs_LightGBM.ipynb ├── Gradient_Boosting_Algorithm_(Classification_+_Regression).ipynb ├── Grid Search.ipynb ├── Hierarchical_Clustering.ipynb ├── Iris.csv ├── KNN_Classifier.ipynb ├── K_Means_Clustering.ipynb ├── Linear_Discriminant_Analysis_(LDA).ipynb ├── Linear_Regression.ipynb ├── Logistic_Regression.ipynb ├── Mini_Batch_Gradient_Descent.ipynb ├── Multi_Layer_Perceptron_(MLP)_Learning.ipynb ├── Naïve_Bayes_Classifier.ipynb ├── PCA.ipynb ├── Plotting_ROC_Curves.ipynb ├── Random_Forest_Classifier.ipynb ├── Random_Search.ipynb ├── S.Mukhopadhyay_Code_Notebook_Securing_User_Authentication_using_AI.ipynb ├── SVM(different_kernels)_KNN_NaiveBayes_SupervisedLearning(Part_1).ipynb ├── Simple_Linear_Regression_&_Multiple_Regression.ipynb ├── Single_Layer_Perceptron.ipynb ├── Singular_Value_Decomposition_(SVD).ipynb ├── Stochastic_Gradient_Descent_(SGD).ipynb ├── Support_Vector_Machine_(SVM).ipynb ├── Wine.csv ├── XGBoost_(eXtreme_Gradient_Boosting).ipynb ├── data.csv └── diabetes.csv /AdaBoost_Algorithm.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Sabyasachi123276/ML-using-Python/HEAD/AdaBoost_Algorithm.ipynb 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