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771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Random Forests and Boosting in Machine Learning
This chapter explores the concept of random forests in machine learning, their strengths, and their aggregation process. It also discusses boosting and how it enhances the power and addresses the weaknesses of random forests.
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