Full source code on GitHub: github.com/marcopeix/youtube_...
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.
Негізгі бет Ғылым және технология Feature selection in machine learning | Full course
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