- 01. Introduction to Evaluation
- 02. Performance Metrics for AI Trading Models
- 03. Time-Based Cross-Validation
- 04. Demo 1: Time-Based Cross-Validation
- 05. Model Interpretability and Feature Analysis
- 06. Backtesting and Forward Testing
- 07. Model Drift and Drift Detection Techniques
- 08. Mitigation Strategies for Model Drift
- 09. Demo 2: Feature Selection, Feature Importance and Model Interpretation
- 10. Exercise 1: Feature Selection, Feature Importance and Interpretation
- 11. Exercise 1 Solution