Binary classification using ensemble model

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  • Опубликовано: 27 ноя 2024

Комментарии • 11

  • @AbubakarMahmudSheriff-ig2cm
    @AbubakarMahmudSheriff-ig2cm 4 месяца назад +1

    What a great instructor you are! Thanks

  • @KaleemUllah-qi7hf
    @KaleemUllah-qi7hf 5 месяцев назад

    Good one. Please make a Deep learning series as well!

  • @ayanmominulislam
    @ayanmominulislam Год назад +1

    Really practical approach please keep uploading more . Can you please make some videos explaining the inner workings and math of these ensemble models. Thank you .

  • @yibenthung
    @yibenthung 11 месяцев назад

    Superb content ma'am. 👍👍 Keep on sharing such videos

  • @LikeVarsha
    @LikeVarsha Год назад +1

    Useful

  • @yashodharpathak189
    @yashodharpathak189 4 месяца назад

    Thank you mam for the great video! Some doubts about feature scaling.
    1) Shouldn't we do the feature scaling after train_test split?
    2) the code you suggested will do the feature scaling of all the label encoded variables also. Shouldn't we do the feature scaling of only numeric variables?

    • @investime247
      @investime247  4 месяца назад

      We need to do for all numerical variables

  • @mimo7660
    @mimo7660 2 месяца назад

    can please provode full code..

  • @palurikrishnaveni8344
    @palurikrishnaveni8344 Год назад

    Very informative video, madam. Can you upload a video related to the non-CSV dataset and make a video related to disease detection using a non-CSV or image dataset?

    • @investime247
      @investime247  Год назад

      ruclips.net/video/GLE7ct8EF0Y/видео.html