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Lesson 1: Python Ecosystem for Machine Learning.
Lesson 2: Python and SciPy Crash Course.
Lesson 3: Load Datasets from CSV.
Lesson 4: Understand Data With Descriptive Statistics.
Lesson 5: Understand Data With Visualization.
Lesson 6: Pre-Process Data.
Lesson 7: Feature Selection.
Lesson 8: Resampling Methods.
Lesson 9: Algorithm Evaluation Metrics.
Lesson 10: Spot-Check Classification Algorithms.
Lesson 11: Spot-Check Regression Algorithms.
Lesson 12: Model Selection.
Lesson 13: Pipelines.
Lesson 14: Ensemble Methods.
Lesson 16: Model Finalization.