Week ID Topic Teacher Date Downloads
Week 1 ML0 Welcome to the course Prof. Debasis Samanta 22-08-2022 Download Welcome Video ⇓
Week 1 ML1 Introduction to Concept Learning Prof. Pabitra Mitra 22-08-2022 Introduction to Machine Learning ⇓
Week 1 ML2 Statistical Learning-I Prof. Monalisa Sarma 23-08-2022 Discrete Probability Distribution⇓
Week 1 ML2 Statistical Learning-II Prof. Monalisa Sarma 24-08-2022 Continous Probability Distribution⇓
Week 1 ML2 Statistical Learning-III Prof. Monalisa Sarma 25-08-2022 Sampling Distribution⇓
Week 1 ML2 Statistical Learning-IV Prof. Monalisa Sarma 26-08-2022 Statistical Inferences⇓
Week 2 ML2 Anova Techniques Prof. Monalisa Sarma 29-08-2022 ANOVA⇓
Week 2 ML3 Relation Analysis-I Prof. Debasis Samanta 30-08-2022 Idea of Regression⇓
Week 2 ML3 Relation Analysis-II Prof. Debasis Samanta 31-08-2022 Liner Regression⇓
Week 2 ML3 Relation Analysis-III Prof. Debasis Samanta 31-08-2022 Logistic Regression⇓
Week 2 ML4 Bayesian Learning Prof. Debasis Samanta 02-09-2022 Bayes Classifier⇓
Week 2 ML5 Distance-based Learning Prof. Pabitra Mitra 02-09-2022 KNN Classifier⇓
Week 3 ML6 Decision Tree Learning-I Prof. Debasis Samanta 05-09-2022 Decision Tree Classifier⇓
Week 3 ML6 Decision Tree Learning-II Prof. Debasis Samanta 06-09-2022 Decision Tree Classifier⇓
Week 3 ML6 Decision Tree Learning-III Prof. Debasis Samanta 07-09-2022 Decision Tree Classifier⇓
Week 3 ML7 Support Vector Machine-I and II Prof. Alok Kanti Deb 09-09-2022 SVM Classifier⇓
Week 4 ML8 Ensemble Classification Prof. Pabitra Mitra 12-09-2022 Bagging, Boosting and Adaboost
Week 4 ML9 Classifier/ Hypothesis Evaluation Prof. Debasis Samanta 13-09-2022 Classification Evaluation⇓
Week 4 ML10 Unsupervised Learning-I Prof. Debasis Samanta 15-09-2022 Clustering I⇓
Week 4 ML10 Unsupervised Learning-II Prof. Debasis Samanta 16-09-2022 Clustering II & III⇓

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