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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Understanding Decision Trees in Machine Learning

This chapter explains the visual representation of decision trees in machine learning, emphasizing the critical role of the initial split in determining outcomes. Using the example of predicting customer spending on candles based on income, it showcases how decision trees make sequential splits to make accurate predictions.

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