Super Data Science: ML & AI Podcast with Jon Krohn cover image

771: Gradient Boosting: XGBoost, LightGBM and CatBoost, with Kirill Eremenko

Super Data Science: ML & AI Podcast with Jon Krohn

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Evolution and Efficiency of XGBoost, LightGBM, and CatBoost Algorithms

This chapter delves into the origins and success of XGBoost, LightGBM, and CatBoost algorithms, highlighting their efficiency and speed in machine learning competitions like Kaggle. It compares the features of XGBoost and LightGBM, emphasizing the latter's faster processing speed with histogram-based splits, and explains exclusive feature bundling technique to reduce columns in sparse datasets.

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