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Module 5 - Oversampling and feature selection - Data pre-processing for machine learning in Python
Filter-based feature selection
Introduction to feature selection (5:41)
Numerical features, numerical target (10:24)
Numerical features, categorical target (6:35)
Categorical features, numerical target (8:58)
Categorical features, categorical target (7:51)
Feature importance according to a model (11:20)
A comment on mutual information
A comment on feature selection with categorical variables
Exercises (8:32)
Oversampling
Introduction to SMOTE (4:29)
How to perform SMOTE (10:48)
Exercise (5:29)
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Categorical features, numerical target
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