- 01. Introduction
- 02. Machine Learning in Spark
- 03. Feature Extraction
- 04. Numeric Features
- 05. Numeric Features [Example Code]
- 06. Text Processing
- 07. Text Processing [Example Code]
- 08. Quiz - Creating Features
- 09. Quiz - Creating Features Jupyter Notebook
- 10. Quiz [Solution Code]
- 11. Dimensionality Reduction
- 12. Supervised ML Algorithms
- 13. Linear Regression
- 14. Linear Regression
- 15. Quiz - Linear Regression Jupyter Notebook
- 16. Quiz [Solution Code]
- 17. Logistic Regression
- 18. Unsupervised ML Algorithms
- 19. Quiz - K-means
- 20. Quiz - K-means Jupyter Notebook
- 21. Quiz [Solution Code]
- 22. ML Pipelines
- 23. ML Pipeline Example
- 24. Model Selection and Tuning
- 25. Model Selection and Tuning Example
- 26. Quiz - Model Tuning
- 27. Quiz - Model Tuning Jupyter Notebook
- 28. Quiz [Solution Code]
- 29. Summary