Uploaded December 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books
In this video, I am introducing the three main categories of feature selection: filter methods, embedded methods, and wrapper methods.
Slides: sebastianraschka.com/pdf/lecture-notes/stat451fs20/13_feat-sele__slides.pdf
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This video is part of my Introduction of Machine Learning course.
Next video: youtu.be/l40H2-XdrEc
The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3
A handy overview page with links to the materials: sebastianraschka.com/blog/2021/ml-course.html
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If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka
Sebastian's books: sebastianraschka.com/books
In this video, I am introducing the three main categories of feature selection: filter methods, embedded methods, and wrapper methods.
Slides: sebastianraschka.com/pdf/lecture-notes/stat451fs20/13_feat-sele__slides.pdf
-------
This video is part of my Introduction of Machine Learning course.
Next video: youtu.be/l40H2-XdrEc
The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3
A handy overview page with links to the materials: sebastianraschka.com/blog/2021/ml-course.html
-------
If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka










