Cross Validation in Machine Learning with Examples

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  • Опубликовано: 24 янв 2025

Комментарии • 29

  • @KritantaSasanRoy-l6w
    @KritantaSasanRoy-l6w 2 месяца назад +10

    00:02 Cross Validation is used to measure the accuracy and performance of machine learning models.
    00:53 Cross Validation splits data into training and testing sets
    01:44 Cross validation helps prevent overfitting and variance issues in machine learning models.
    02:35 Cross Validation in Machine Learning involves creating subsets of data for repetition
    03:29 Cross Validation involves dividing the dataset into four partitions
    04:19 Cross Validation in Machine Learning
    05:10 Cross validation involves testing on different subsets of data.
    06:06 Using mean of multiple outputs for final result

  • @seriousblack9145
    @seriousblack9145 Год назад +2

    Thank you sir to make me understand the concept of computer organization I watch playlist of computer organization . ❤❤ thank you sir . and I also watch hub switch but you didn't teach gateway so please teach us gateway my all friends wait for thia ❤

  • @Abhishekyadav-rm6iw
    @Abhishekyadav-rm6iw Год назад +4

    Lots of love from Nepal 🇳🇵

  • @ankitabanerjee2312
    @ankitabanerjee2312 Год назад +2

    Thank you sir. Well explained.

  • @vikrammali8307
    @vikrammali8307 Месяц назад

    Got the point. Finally we trained 4 models. Now which one would be used in production? All of these 4 models ?

  • @BhagatBhutale..
    @BhagatBhutale.. 3 месяца назад

    Video is Useful

  • @CS-IT116
    @CS-IT116 Год назад +1

    Sir make video on hypothesis space and inductive bias

  • @iftikaralam1oOne
    @iftikaralam1oOne Год назад

    Happy Bihu Sir 🥳🥳🎉

  • @246sakshitiwari2
    @246sakshitiwari2 Год назад +7

    Sir gate ke liye poori playlist de dijiye please

  • @VijayKumarvlog749
    @VijayKumarvlog749 Год назад

    I love you sir❤

  • @Vishnu_srii
    @Vishnu_srii Год назад +1

    sir how to compare one model to another model

  • @DarkLord79799
    @DarkLord79799 11 месяцев назад +1

    plz answer == after train test split on witch data we do cross validation on (Training data 80 % or testing data%)

    • @juststudy5836
      @juststudy5836 6 месяцев назад

      Not like that bro. If u do train test split U may get that problem of model training on one kind of data and tested on another kind of data to avoid that we prefer this method.

  • @SuperclashGamerz
    @SuperclashGamerz 8 месяцев назад +1

    How to learn in right way

  • @pardhancomedy
    @pardhancomedy Год назад +14

    Sir exam hai 17 ko machine learning ki dar lag raha hai 😔

  • @061_arsh
    @061_arsh 10 месяцев назад

    k fold matlab k baar fold

  • @SanketSharmasanket7317
    @SanketSharmasanket7317 26 дней назад +1

    ok

  • @prasadswain
    @prasadswain Год назад

    First view