An Introduction to Gradient Boosting Decision Trees

Gradient Boosting is a machine learning algorithm, used for both classification and regression problems. It works on the principle that many weak learners(eg: shallow trees) can together make a more accurate predictor. How does Gradient Boosting Work? Gradient boosting works by building simpler (weak) prediction models sequentially where each model tries to predict the error …

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