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Module 4 - Numerical transformations - Data pre-processing for machine learning in Python
Transformations of the numerical features
Introduction to transformations (2:05)
Power Transformation (9:02)
Binning (11:03)
Binarizing (2:25)
Applying an arbitrary transformation (7:10)
Exercise (11:20)
About power transformations
Pipelines
Define a transformation pipeline (8:51)
Pipelines and ColumnTransformer together (12:07)
Exercises (10:52)
Scaling
Introduction to scaling (2:46)
Normalization, Standardization, Robust scaling (12:18)
Exercise (7:16)
Principal Component Analysis
Introduction to PCA (3:20)
How to perform PCA (9:57)
Exercise (6:15)
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