- 01. Intro
- 02. Outline
- 03. Testing your models
- 04. Confusion Matrix
- 05. Confusion Matrix 2
- 06. Accuracy
- 07. Accuracy 2
- 08. When accuracy won't work
- 09. False Negatives and Positives
- 10. Precision and Recall
- 11. Precision
- 12. Recall
- 13. Types of Errors
- 14. Model Complexity Graph
- 15. Cross Validation
- 16. K-Fold Cross Validation
- 17. Cross Validation for Time Series
- 18. Validation for Financial Data
- 19. Learning Curves
- 20. Detecting Overfitting and Underfitting with Learning Curves
- 21. Solution: Detecting Overfitting and Underfitting
- 22. Outro