- 01. Introduction
- 02. Exercise: Load, Inspect and Clean Data
- 03. Exercise Solution
- 04. A High Level Review
- 05. Peeking Under the Hood
- 06. AI Models as Optimizers
- 07. Models Optimization: Optimizing the Optimizer
- 08. Model Inputs: Features vs Samples
- 09. Data Preparation
- 10. Feature Engineering and Feature Scaling
- 11. Feature Selection
- 12. Train-Test-Split, Data Leakage, and Other Considerations
- 13. Demo 1: Data Cleaning and Preprocessing
- 14. Demo 2: Feature Engineering and Scaling