Tune the parameters of a VotingClassifer or VotingRegressor

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  • Опубликовано: 27 окт 2024

Комментарии • 9

  • @dataschool
    @dataschool  3 года назад

    If you haven't yet watched tip 46 on how and why to ensemble your models, I recommend starting with that video: ruclips.net/video/2lq2k6J3GW4/видео.html

    • @salama4ai458
      @salama4ai458 3 года назад

      awesome tips,
      secondly i have questions , how can i use make_column_transformer to chain multiple transformations on the same collection of columns: i.e some catogerical columns have null values, so i need to impute null values then apply OneHotEncoder as example< so can i do that?? Thank you a lot

  • @jjdiaz24
    @jjdiaz24 3 года назад +3

    Great as usual!

  • @user-cc8kb
    @user-cc8kb 3 года назад +1

    Good tip! Thanks. I appreciate your videos a lot!

  • @purposeoriented6094
    @purposeoriented6094 3 года назад

    I have fitted the voting classifier with xgboost, adaboost, and catboost but when predicting I am getting this error message
    "could not broadcast input array from shape (8433,1) into shape (8433)

  • @VinodKumar-ui8dd
    @VinodKumar-ui8dd 3 года назад

    How do I open file write and save file in openpyxl without changing chart background color. By default background color of charts Changing to white fr all sheets