Data Science in PythonΒΆ
This documentation summarises various machine learning techniques in Python. A lot of the content are compiled from various resources, so please cite them appropriately if you are using.
- 1. General Notes
- 2. Learning
- 3. Exploratory Analysis
- 4. Feature Preprocessing
- 5. Feature Normalization
- 6. Feature Engineering
- 7. Class Imbalance
- 8. Data Leakage
- 9. Supervised Learning
- 10. Unsupervised Learning
- 11. Deep Learning
- 12. Reinforcement Learning
- 13. Evaluation
- 14. Explainability
- 15. Utilities
- 16. Flask
- 17. FastAPI
- 18. Docker