Full source code on GitHub: https://github.com/marcopeix/youtube_tutorials/blob/main/YT_01_feature_selection.ipynb

Introduction – 0:00
Initial code setup – 2:19
Variance threshold – 11:04
Variance threshold (code) – 13:02
Filter method – 19:39
Filter method (code) – 21:27
RFE – 29:08
RFE (code) – 30:42
Boruta – 37:12
Boruta (code) – 41:21
Thank you – 46:35

A full course on feature selection in machine learning projects.

We first cover a naive method based on variance. Then we move on to filter method and wrapper method like recursive feature elimination or RFE. Finally, implement the Boruta algorithm.

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