XGBoost Part 1 - Regression

XGBoost Part 1 - Regression

Dive into the first part of a four-part video series on XGBoost, focusing on its application to regression problems. Learn about the unique regression trees used in XGBoost, including initial predictions, tree building, similarity score calculations, gain evaluation for thresholds, tree pruning, regularization, output value calculations, and making predictions. Explore these concepts through clear explanations and visual aids, building on prior knowledge of Gradient Boost for Regression and Regularization. Gain a comprehensive understanding of XGBoost's approach to regression, preparing you for more advanced topics in subsequent videos.