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# Gradient Boosting
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Gradient boosting is one of the most successfull supervised
machine learning methods in practice. It's often used in
kaggle to win competition, it's used for credit scoring,
it's one of the standard tools of the trade. It's one of the
best of-the-shelf models A standard implementation that
people use is XGBoost, but there's also an implementation in
scikit-learn, and we'll talk about both of them.

Last time we talked about Random forests, which builds 