Uploaded December 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books
Sorry, I had some issues with the microphone (a too aggressive filter to remove background noise). Should be better in the next vids!
Description: This video dives into "filter methods" for feature selection. In particular, we focus on using a variance threshold to select informative features.
Code: github.com/rasbt/stat451-machine-learning-fs21/blob/main/13-feature-selection/01_variance-threshold.ipynb
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/_aGWjt7GKBE
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
Sebastian's books: sebastianraschka.com/books
Sorry, I had some issues with the microphone (a too aggressive filter to remove background noise). Should be better in the next vids!
Description: This video dives into "filter methods" for feature selection. In particular, we focus on using a variance threshold to select informative features.
Code: github.com/rasbt/stat451-machine-learning-fs21/blob/main/13-feature-selection/01_variance-threshold.ipynb
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/_aGWjt7GKBE
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
