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

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  • Опубліковано 24 гру 2024

КОМЕНТАРІ • 5

  • @mabenba
    @mabenba 8 місяців тому +1

    Great episodes guys! I started my journey in data with Kirill's Udemy courses in Power BI and Python! He is truly a great educator.

  • @CosimoDAmicis
    @CosimoDAmicis 8 місяців тому

    The simple explanations we need!

  • @ddddsdsdsd
    @ddddsdsdsd 8 місяців тому

    Loved it, thank you, both!❤️
    Manuel

  • @fouried96
    @fouried96 8 місяців тому

    Great video thank you! I have one question, for CatBoost, when it is a classification problem, how do you replace the categorical columns words like France, Germany, etc.? Using your example, do you look at the first 50 rows for Germany and then choose the most common (majority) classification in the target column to replace the word Germany?

  • @milleniumsalman1984
    @milleniumsalman1984 7 місяців тому

    hi @1:26:52 for lightgbm you mentioned about lightgbm and the value behind sparse columns. then can we convert sparse columns to categorical columns