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/KhanradCoder/LearnMachineLearning More info on the XGBoost Library: https://xgboost.readthedocs.io/en/latest/python/index.html More info on Boosting: https://www.youtube.com/watch?v=0Xc9LIb_HTw More info on PCA: https://www.youtube.com/watch?v=fkf4IBRSeEc Want to continue learning machine learning? Check out my Keras course where we learn how to build neural networks: https://www.youtube.com/watch?v=5VTE8IZgIco 0:00 Preprocessing 2:21 Feature Scaling 3:41 Principal Component Analysis (PCA) 7:54 Gradient Boosting 10:19 XGBoost 12:43 Extra Credit Get 60 Free Days of Unlimited Access to Scribd! https://www.scribd.com/g/6lchwh Follow Me: Twitter: https://twitter.com/khanradcoder Instagram: https://instagram.com/thekhanradcoder/ GitHub: https://github.com/KhanradCoder