
StatQuest with Josh Starmer
チャンネル登録者数 141万人
95万 回視聴 ・ 19667いいね ・ 2021/04/26
Decision trees are part of the foundation for Machine Learning. Although they are quite simple, they are very flexible and pop up in a very wide variety of situations. This StatQuest covers all the basics and shows you how to create a new tree from scratch, one step at a time.
NOTE: This is an updated and revised version of the Decision Tree StatQuest that I made back in 2018. It is my hope that this new version does a better job answering some of the most frequently asked questions people asked about the old one.
Note, you may also want to learn about...
Regression Trees: • Regression Trees, Clearly Explained!!!
Bias and Variance (and over fitting): • Machine Learning Fundamentals: Bias a...
Cross Validation: • Machine Learning Fundamentals: Cross ...
Pruning Trees: • How to Prune Regression Trees, Clearl...
For a complete index of all the StatQuest videos, check out:
statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Patreon: www.patreon.com/statquest
...or...
YouTube Membership: 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...
statquest.org/statquest-store/
...or just donating to StatQuest!
www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
twitter.com/joshuastarmer
0:00 Awesome song and introduction
0:18 Basic decision tree concepts
3:16 Building a tree with Gini Impurity
9:15 Numeric and continuous variables
12:35 Adding branches
13:56 Adding leaves
14:32 Defining output values
15:12 Using the tree
15:38 How to prevent overfitting
#StatQuest #decisiontree #ML
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Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
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Lecture 10 - Decision Trees and Ensemble Methods | Stanford CS229: Machine Learning (Autumn 2018)
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