Gradient Boosting Explained
Discover how gradient boosting works by chaining decision tree models to refine predictions. Each model focuses on the errors of the previous one, allowing for a more accurate estimate of customer spending. By the end of the process, you can predict how much a new customer is likely to spend based on their unique features.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
771: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko
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