25:30

Python Exercise on Decision Tree and Linear Regression

29:24

Learning Decision Tree

26:02

Feature Selection

22:13

Evaluation and Cross-Validation

24:25

Introduction to Decision Trees

33:25

Hypothesis Space and Inductive Bias

36:38

k-Nearest Neighbour

24:55

Different Types of Learning