Classification Trees in Python from Start to Finish @statquest
Classification Trees in Python from Start to Finish  @statquest
Uploaded June 2020 | Updated September 2026, 2 weeks ago
NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: 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: youtu.be/7VeUPuFGJHk
Cross Validation: youtu.be/fSytzGwwBVw
Confusion Matrices: youtu.be/Kdsp6soqA7o
Cost Complexity Pruning: youtu.be/D0efHEJsfHo
Bias and Variance and Overfitting: youtu.be/EuBBz3bI-aA

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statquest.org/video-index

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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
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StatQuest with Josh Starmer |

Classification Trees in Python from Start to Finish

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