Machine Learning Fundamentals: Cross Validation

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! 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... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...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 Correction: 4:16 KNN should have 10 correct and 14 incorrect. #statquest #ML #crossvalidation