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Machine Learning Fundamentals: Cross Validation
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One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method would be best for our dataset. Check out the video to find out how! ⭐ NOTE: When I code, I use Kite, a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=statquest&utm_content=description-only For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt... https://teespring.com/stores/statquest ...or buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...or just donating to StatQuest! https://www.paypal.me/statquest 0:00 Awesome song and introduction 0:25 Motivation for using Cross Validation 1:18 Cross Validation concepts 3:41 An example using Cross Validation 4:35 Terminology (4-Fold, 10-Fold, etc) 5:20 Cross Validation for tuning parameters #statquest #ML #crossvalidation
YouTube url:
https://www.youtube.com/watch?v=fSytzGwwBVw
Created:
1. 11. 2020 16:13:08