Machine Learning - Classification Trees in Python from Start to Finish

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