Machine Learning - StatQuest: Linear Discriminant Analysis (LDA) clearly explained.

LDA is surprisingly simple and anyone can understand it. Here I avoid the complex linear algebra and use illustrations to show you what it does so you will know when to use it and how to interpret the results. Sample code for R is at the StatQuest GitHub: https://github.com/StatQuest/linear_discriminant_analysis_demo/blob/master/linear_discriminant_analysis_demo.R 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 Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 0:00 Awesome song and introduction 0:59 Motivation for LDA 5:03 LDA Main Idea 5:29 LDA with 2 categories and 2 variables 7:07 How LDA creates new axes 10:03 LDA with 2 categories and 3 or more variables 10:57 LDA for 3 categories 13:39 Similarities between LDA and PCA #statquest #LDA #ML