6.4 Splitting criteria (L06: Decision Trees)
21:03
6.5 Gini & Entropy versus misclassification error (L06: Decision Trees)
25:05
6.1 Intro to Decision Trees (L06: Decision Trees)
15:35
8.2 Intuition behind bias and variance (L08: Model Evaluation Part 1)
30:08
1.4 Notation (L01: What is Machine Learning)
50:23
Machine Learning Lecture 29 "Decision Trees / Regression Trees" -Cornell CS4780 SP17
39:43
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
21:17
8.1 Intro to overfitting and underfitting (L08: Model Evaluation Part 1)
18:08