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11min chapter
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
Super Data Science: ML & AI Podcast with Jon Krohn
Understanding Decision Trees and Ensemble Models
Exploration of decision trees through a woodland analogy, detailing decision paths and terminal leaf nodes for regression and classification tasks. Introduction to ensemble models like bagging and bootstrapping, focusing on bootstrap aggregation in creating random forests.
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