Topic ID Teacher Date Content
Introduction to Machine Learning Prof. Pabitra Mitra 22-08-2022 Introduction to ML⇓
Discrete Probability Distribution Prof. Monalisa Sarma 23-08-2022 Statistical Learning - I⇓
Continous Probability Distribution Prof. Monalisa Sarma 24-08-2022 Statistical Learning - II⇓
Sampling Distribution Prof. Monalisa Sarma 24-08-2022 Statistical Learning - III⇓
Statistical Inferences Prof. Monalisa Sarma 26-08-2022 Statistical Learning - IV⇓
Relation Analysis Prof. Debasis Samanta 26-08-2022 ML - 3 Relation Analysis⇓
Concept Learning Prof. Pabitra Mitra 26-08-2022 ML - 1 Introduction to Concept Learning⇓
Classification Techniques Prof. Debasis Samanta 26-08-2022 ML - 5 KNN⇓
Classification Techniques Prof. Debasis Samanta 26-08-2022 ML - 4 Bayesian Classifier⇓
Classification Techniques Prof. Debasis Samanta 05-09-2022 ML - 5 Decision Tree⇓
Classification Techniques Prof. Alok Kanti Deb 06-09-2022 ML - 7 SVM 1⇓
Classification Techniques Prof. Alok Kanti Deb 06-09-2022 ML - 7 SVM 2⇓
Ensemble Classification Techniques Prof. Pabitra Mitra 05-09-2022 ML - 8 Ensemble Classification⇓
Classification Techniques Prof. Debasis Samanta 13-09-2022 ML - 9 Performance Analysis⇓
Clustering Techniques Prof. Debasis Samanta 15-09-2022
16-09-2022		 ML - 10 Unsupervised Learning⇓

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