In the first part of this article, we presented the gradient boosting algorithm and showed its implementation in pseudocode.
In this part of the article, we will explore the classes in Scikit-Learn that implement this algorithm, discuss their various parameters, and demonstrate how to use them to solve several classification and regression problems.
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