SQB7019 Week 2

(1:2:53)

SQB7019 Week 14 Presentation

(3:49)

SQB7019 Week 6 (Presentation of CA1)

(3:2:15)

SQB7019 Week 10 (Naive Bayes - Part 1)

(1:23:45)

SQB7019 Week 5 (PCA biplots, Variable Selection Methods, CA1)

(2:41:15)

SQB7019 Week 12 (Classification and Regression Tree, GUIDE)

(2:48:33)

SQB7019 - Week 1 Introduction to Data Mining, Data types

(1:24:21)

SQB7019 Week 3 (Principal Component Analysis - Part 1)

(1:21:22)

SQB7019 Week 3 (Principal Component Analysis - Part 2)

(1:34:14)

SQB7019 Week 8 (Theory of linear classifiers - Part 2)

(1:3:6)

SQB7019 Week 4 (Q-mode PCA; Case Study - Wisconsin breast cancer data set)

(2:14:7)

SQB7019 Week 7 (LDA, Introduction to machine learning)

(2:27:50)

SQB7019 Week 10 Part 2 (Bias and Variance Tradeoff)

(38:)

SQB7019 Week 9 (SVM decision boundaries, validating classifier performance, cross validation)

(2:6:52)

SQB7019 Week 11 (Artificial Neural Network)

(2:25:52)

SQB7019 Week 13 (KNN, Unsupervised Learning, Ensemble Methods)

(2:56:3)

Variable selection methods (STAT 320, chapter 4 video 1 of 4 )

(8:6)