- 01. Welcome To Decision Trees
- 02. Linearly Separable Data
- 03. Multiple Linear Questions
- 04. Constructing a Decision Tree First Split
- 05. Constructing a Decision Tree 2nd Split
- 06. Class Labels After Second Split
- 07. Constructing A Decision Tree/Third Split
- 08. Coding A Decision Tree
- 09. Decision Tree Accuracy
- 10. Decision Tree Parameters
- 11. Min Samples Split
- 12. Decision Tree Accuracy
- 13. Data Impurity and Entropy
- 14. Minimizing Impurity in Splitting
- 15. Formula of Entropy
- 16. Entropy Calculation Part 1
- 17. Entropy Calculation Part 2
- 18. Entropy Calculation Part 3
- 19. Entropy Calculation Part 4
- 20. Entropy Calculation Part 5
- 21. Information Gain
- 22. Information Gain Calculation Part 1
- 23. Information Gain Calculation Part 2
- 24. Information Gain Calculation Part 3
- 25. Information Gain Calculation Part 4
- 26. Information Gain Calculation Part 5
- 27. Information Gain Calculation Part 6
- 28. Information Gain Calculation Part 7
- 29. Information Gain Calculation Part 8
- 30. Information Gain Calculation Part 9
- 31. Information Gain Calculation Part 10
- 32. Tuning Criterion Parameter
- 33. Bias-Variance Dilemma
- 34. DT Strengths and Weaknesses