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6min chapter
771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Gradient Boosting Algorithms in Podcast Format
The chapter delves into the positive reception of technical content in podcasts, highlighting a cheat sheet comparing XGBoost, LightGBM, and CatBoost, and promoting an exclusive course covering these models and related topics. It also discusses the benefits of membership at Super Data Science and provides insights into decision trees, bagging, random forests, and the three prominent gradient boosting algorithms in a fun and engaging manner.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode