Machine Learning with Spark
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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
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29. Summary
Lesson Summary
L4 08 01 Outro V2