694: CatBoost: Powerful, efficient ML for large tabular datasets
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
In-depth exploration of CatBoost for efficient ML on large tabular datasets
This chapter delves into the features and optimization techniques of CatBoost, a tree boosting algorithm for machine learning. It covers its handling of categorical features, regularization techniques, and wide range of applications in classification, regression, ranking, and recommendation systems.
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