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Regression Trees, Clearly Explained!!! 4 года назад


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Regression Trees, Clearly Explained!!!

Regression Trees are one of the fundamental machine learning techniques that more complicated methods, like Gradient Boost, are based on. They are useful for times when there isn't an obviously linear relationship between what you want to predict, and the things you are using to make the predictions. This StatQuest walks you through the steps required to build Regression Trees so that they are Clearly Explained. NOTE: This StatQuest assumes you already know about... The bias/variance tradeoff:    • Machine Learning Fundamentals: Bias a...   Decision Trees:    • StatQuest: Decision Trees   Linear Regression:    • Linear Regression, Clearly Explained!!!   ALSO NOTE: This StatQuest is based on the definition of Regression Trees found on pages 304 to 307 of the Introduction to Statistical Learning in R: http://faculty.marshall.usc.edu/garet... 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... Buying The StatQuest Illustrated Guide to Machine Learning!!! PDF - https://statquest.gumroad.com/l/wvtmc Paperback - https://www.amazon.com/dp/B09ZCKR4H6 Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC Patreon:   / statquest   ...or... YouTube Membership:    / @statquest   ...a cool StatQuest t-shirt or sweatshirt: https://shop.spreadshirt.com/statques... ...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 Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:   / joshuastarmer   0:00 Awesome song and introduction 0:41 Motivation for Regression Trees 2:19 Regression Trees vs Classification Trees 7:11 Building a Regression Tree with one variable 18:59 Building a Regression Tree with multiple variables 20:54 Summary of concepts and main ideas #statquest #regression #tree

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