XGBoost and Principal Component Analysis | Practical Machine Learning with Scikit-Learn #3
In this video, we go over how to optimize our model using principal component analysis, feature scaling, gradient boosting and a special form of gradient boosting called xgboost.
Code for this video:
https://github.com/adameubanks/LearnM...
More info on the XGBoost Library:
https://xgboost.readthedocs.io/en/lat...
More info on Boosting:
• Decision Trees and Boosting, XGBoost | Two...
More info on PCA:
• Principal Component Analysis (PCA)
Want to continue learning machine learning? Check out my Keras course where we learn how to build neural networks:
• Introduction | Learn Keras #0
0:00 Preprocessing
2:21 Feature Scaling
3:41 Principal Component Analysis (PCA)
7:54 Gradient Boosting
10:19 XGBoost
12:43 Extra Credit
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