Channel: StatQuest with Josh Starmer

Category: Education

Tags: josh starmerpythondata sciencemachine learningxgbooststatqueststatistics

Description: NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: statquest.org/product/jupyter-notebook-xgboost-in-python NOTE: This StatQuest assumes that you are already familiar with: XGBoost for Regression: youtu.be/OtD8wVaFm6E XGBoost for Classification: youtu.be/8b1JEDvenQU XGBoost: Crazy Cool Optimizations: youtu.be/oRrKeUCEbq8 Regularization: youtu.be/Q81RR3yKn30 Cross Validation: youtu.be/fSytzGwwBVw Confusion Matrices: youtu.be/Kdsp6soqA7o For a complete index of all the StatQuest videos, check out: statquest.org/video-index If you'd like to support StatQuest, please consider... Buying my book, The StatQuest Illustrated Guide to Machine Learning: PDF - statquest.gumroad.com/l/wvtmc Paperback - amazon.com/dp/B09ZCKR4H6 Kindle eBook - amazon.com/dp/B09ZG79HXC Patreon: patreon.com/statquest ...or... YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...a cool StatQuest t-shirt or sweatshirt: shop.spreadshirt.com/statquest-with-josh-starmer ...buying one or two of my songs (or go large and get a whole album!) joshuastarmer.bandcamp.com ...or just donating to StatQuest! 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 2:56 Import Modules 4:34 Import Data 13:43 Missing Data Part 1: Identifying 18:37 Missing Data Part 2: Dealing with it 24:03 Format Data Part 1: X and y 25:55 Format Data Part 2: One-Hot Encoding 33:25 XGBoost - Missing Data and One-Hot Encoding 36:43 Build a Preliminary XGBoost Model 45:01 Optimize Parameters with Cross Validation (GridSearchCV) 49:44 Build and Draw Final XGBoost Model #StatQuest #ML #XGBoost