NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/uroxo

NOTE: This StatQuest assumes that you are already familiar with:
XGBoost for Regression:    • XGBoost Part 1 (of 4): Regression  
XGBoost for Classification:    • XGBoost Part 2 (of 4): Classification  
XGBoost: Crazy Cool Optimizations:    • XGBoost Part 4 (of 4): Crazy Cool Opt...  
Regularization:    • Regularization Part 1: Ridge (L2) Reg...  
Cross Validation:    • Machine Learning Fundamentals: Cross ...  
Confusion Matrices:    • Machine Learning Fundamentals: The Co...  

For a complete index of all the StatQuest videos, check out:
https://statquest.org/videoindex/

If you'd like to support StatQuest, please consider...

Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF https://statquest.gumroad.com/l/wvtmc
Paperback https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook https://www.amazon.com/dp/B09ZG79HXC

Patreon:   / statquest  
...or...
YouTube Membership:    / @statquest  

...a cool StatQuest tshirt or sweatshirt:
https://shop.spreadshirt.com/statques...

...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/

...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:
  / 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: OneHot Encoding
33:25 XGBoost Missing Data and OneHot 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