- 01. Fraud Detection
- 02. Pre-Notebook: Payment Fraud Detection
- 03. Exercise: Payment Transaction Data
- 04. Solution: Data Distribution & Splitting
- 05. LinearLearner & Class Imbalance
- 06. Exercise: Define a LinearLearner
- 07. Solution: Default LinearLearner
- 08. Exercise: Format Data & Train the LinearLearner
- 09. Solution: Training Job
- 10. Precision & Recall, Overview
- 11. Exercise: Deploy Estimator
- 12. Solution: Deployment & Evaluation
- 13. Model Improvements
- 14. Improvement, Model Tuning
- 15. Exercise: Improvement, Class Imbalance
- 16. Solution: Accounting for Class Imbalance
- 17. Exercise: Define a Model w/ Specifications
- 18. One Solution: Tuned and Balanced LinearLearner
- 19. Summary and Improvements