NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/tzxoh
This webinar was recorded 20200528 at 11:00am (New York time).
NOTE: This StatQuest assumes are already familiar with:
Decision Trees: https://youtu.be/7VeUPuFGJHk
Cross Validation: https://youtu.be/fSytzGwwBVw
Confusion Matrices: https://youtu.be/Kdsp6soqA7o
Cost Complexity Pruning: https://youtu.be/D0efHEJsfHo
Bias and Variance and Overfitting: https://youtu.be/EuBBz3bI-aA
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
5:23 Import Modules
7:40 Import Data
11:18 Missing Data Part 1: Identifying
15:57 Missing Data Part 2: Dealing with it
21:16 Format Data Part 1: X and y
23:33 Format Data Part 2: One-Hot Encoding
37:29 Build Preliminary Tree
46:31 Pruning Part 1: Visualize Alpha
51:22 Pruning Part 2: Cross Validation
56:46 Build and Draw Final Tree
#StatQuest #ML #ClassificationTrees