Lesson 1: Feature Engineering
- Introduction to Feature Engineering
- Feature Selection
- Feature Extraction
Lesson 2: Model Selection and Hyperparameter Tuning
- Model Selection Techniques
- Hyperparameter Tuning Methods
- Cross-Validation
Lesson 3: Ensemble Learning
- Basics of Ensemble Learning
- Bagging and Boosting
- Stacking
Lesson 4: Reinforcement Learning
- Introduction to Reinforcement Learning
- Markov Decision Processes
- Q-Learning and Policy Gradient