NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: statquest.gumroad.com/l/uroxo
NOTE: This StatQuest assumes that you are already familiar with:
XGBoost for Regression: • XGBoost Part 1 (of 4):...
XGBoost for Classification: • XGBoost Part 2 (of 4):...
XGBoost: Crazy Cool Optimizations: • XGBoost Part 4 (of 4):...
Regularization: • Regularization Part 1:...
Cross Validation: • Machine Learning Funda...
Confusion Matrices: • Machine Learning Funda...
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 - www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - www.amazon.com/dp/B09ZG79HXC
Patreon: / statquest
...or...
RU-vid Membership: / @statquest
...a cool StatQuest t-shirt or sweatshirt:
shop.spreadshirt.com/statques...
...buying one or two of my songs (or go large and get a whole album!)
joshuastarmer.bandcamp.com/
...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:
/ 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
28 июн 2024