August 4, 2020 (Lecture 1): Introduction to Data Mining.
September 22, 2020 (Lecture 2): Data
September 24, 2020 (Lecture 3): Proximity Measures used in Data Mining
September 25, 2020 (Lecture 4): Data Preprocessing
September 29, 2020 (Lecture 5): Data Preprocessing
October 01, 2020 (Lecture 6): Decision Tree Video Lecture
October 06, 2020 (Lecture 7): Decision Tree Lecture Video
October 08, 2020 (Lecture 8): Decesion Tree Lecture Video Lecture Video on CART
October 09, 2020 (Lecture 9): Distance Based Classifier Lecture Video
October 13, 2020 (Lecture 10): K-Nearest Neighbor Classifier Lecture Video
How to find the value of K in K-nearest Neighbor Classifier Lecture Video
October 15, 2020 (Lecture 11): Model Evaluation and Confusion Matrix Lecture Video [Topic starts at 15th Minute]
Confusion Matrix and K-nearest Neighbor Classifier Lecture Video
October 16, 2020 (Lecture 12): Confusion Matrix and ROC Curve
October 20, 2020 (Lecture 13): Bayes Classifier. Lecture Video
October 22, 2020 (Lecture 14): How to plot ROC curve.
October 23, 2020(Lecture 15): No Class.
November 3, 2020 (Lecture 16): Artificial Neural Network I Lecture Video
November 5, 2020 (Lecturer 17): No Class
November 6, 2020 (Lecturer 18): Artificial Neural Network I Lecture Video
November 7, 2020 (Saturday: Compensatory Class of Lecturer 15): Artificial Neural Network II
November 9, 2020 (Lecturer 19): Artificial Neural Network II Lecture Video
November 10, 2020(Compensatory Class of Lecturer 17, 5.30pm-6:30PM): Artificial Neural Network II Lecture Video Lecture Video
November 11, 2020 (Lecturer 20, Compensatory Slot 1): Ensemble of Classifier: Bagging Lecture Video
November 12, 2020 (Lecturer 21): Ensemble of Classifier: Boosting
November 13, 2020 (Lecturer 22): Data Clustering Lecture Video
November 17, 2020 (Lecture 23): Basic Partitional Clustering such as Leaders, K-Means
November 18, 2020 (Lecturer 24):Bi-secting K-means Lecture Video
November 19, 2020 (Lecturer 25): Accelated K-means; Higherarchical Clustering I Lecture Video
November 20, 2020(Lecturer 26): Higherarchical Clustering II Lecture Video
November 24, 2020(Lecturer 27): Density based Clustering : DBSCAN Lecture Video
November 26, 2020(Lecturer 28): Density based Clustering : NBC
November 27, 2020(Lecturer 29): Evaluation Metrics of Clustering Techniques I
December 01, 2020(Lecturer 30): Evaluation Metrics of Clustering Techniques II; Association Rule Mining Lecture Video Lecture Video
December 02, 2020(Lecturer 31): Association Rule and Rule Generation Lecture Video
December 03, 2020(Lecturer 32): Maximal and Closed Itemset Lecture Video
December 04, 2020(Lecturer 33): NO Class.
December 05, 2020 (Compensatory Class of Lecturer 33):Construction of fp-tree and Evaluation Metrics of Association Rules. Lecture Video
December 08, 2020(Lecturer 34): Anomaly/Outlier Detection
December 10, 2020(Lecturer 35): Density Anomaly Detection Techniques (LOF, LDOF, Symmetric Neighborhood based) Lecture Video
December 11, 2020(Lecturer 36): Class Test.