Tag Archives: Gradient Boosting

Gradient boosting and XGBoost – Part 1/2 This time, we delve into a different approach for combining decision trees, where models are trained sequentially, with each new model correcting the errors of the previous one. This method of model combination is known as boosting. We will specifically explore gradient boosting and utilize the XGBoost library,Continue reading “ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 10”