Principal Component Analysis
31:39
Model Selection
19:22
Data Pre-processing Lab
28:35
Linear Discriminant Analysis
26:28
K-Nearest Neighbor and Naive Baye's Classifiers
21:24
Multiple Linear Regression Lab
22:57
Evaluating Classifier Models: Logistic Regression
15:34
Regularization
20:58