33:12

6.6 Improvements & dealing with overfitting (L06: Decision Trees)

47:54

6.4 Splitting criteria (L06: Decision Trees)

16:35

Entropy (for data science) Clearly Explained!!!

39:40

7.4 Boosting and AdaBoost (L07: Ensemble Methods)

18:08

Decision and Classification Trees, Clearly Explained!!!

25:05

6.1 Intro to Decision Trees (L06: Decision Trees)

22:33

Regression Trees, Clearly Explained!!!

25:41

2.2 Nearest neighbor decision boundary (L02: Nearest Neighbor Methods)