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13.1 The Different Categories of Feature Selection (L13: Feature Selection)

Published: 09 December 2021
on channel: Sebastian Raschka
5,617
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Sebastian's books: https://sebastianraschka.com/books/

In this video, I am introducing the three main categories of feature selection: filter methods, embedded methods, and wrapper methods.

Slides: https://sebastianraschka.com/pdf/lect...

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This video is part of my Introduction of Machine Learning course.

Next video:    • 13.2 Filter Methods for Feature Selec...  

The complete playlist:    • Intro to Machine Learning and Statist...  

A handy overview page with links to the materials: https://sebastianraschka.com/blog/202...

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If you want to be notified about future videos, please consider subscribing to my channel:    / sebastianraschka  

Watch video 13.1 The Different Categories of Feature Selection (L13: Feature Selection) online without registration, duration hours minute second in high quality. This video was added by user Sebastian Raschka 09 December 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 5,617 once and liked it 108 people.

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