<aside> 📖 Gradient Boosting is a machine learning ensemble technique used for both classification and regression tasks. It builds a predictive model in the form of an ensemble of weak learners, typically decision trees, and combines them to create a strong predictive model. The primary goal is to sequentially improve the performance of the model by correcting errors made by previous models.
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