Bagging Vs Random Forest | What is the difference between Bagging and Random Forest | Very Important

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  • Опубликовано: 5 янв 2025

Комментарии • 30

  • @sowmyak3326
    @sowmyak3326 Год назад +5

    Wow...best explanation that I have ever seen. Thanks a ton.

  • @nishankkumar3139
    @nishankkumar3139 3 года назад +8

    Very impressive cleared about both concepts. Please make video in stacking also

  • @hritikgupta2610
    @hritikgupta2610 3 года назад +2

    Too much helpful 👍 sir

  • @vishwanath_kulloli
    @vishwanath_kulloli 2 года назад

    one of best explaination i have ever seen

  • @prateeksoni1427
    @prateeksoni1427 2 года назад +1

    Awesome.. To the point with proves.... God bless you with lots of views, likes & subscriptions :)

  • @ujjwal_7531
    @ujjwal_7531 4 месяца назад

    thank sir you rvideoes are extremly helyful and informative

  • @rockykumarverma980
    @rockykumarverma980 3 месяца назад

    Thank you so much sir🙏🙏🙏

  • @ahsanulkyumsiam163
    @ahsanulkyumsiam163 2 года назад

    Thanks for these amazing classes

  • @hanishtangella413
    @hanishtangella413 3 года назад

    Excellent explanation 👏

  • @adhvaithstudio6412
    @adhvaithstudio6412 3 года назад

    really helpfull your video!, my doubt was really cleared now..

  • @bangarrajumuppidu8354
    @bangarrajumuppidu8354 3 года назад

    very clear explanation

  • @ganeshpasagada5685
    @ganeshpasagada5685 Год назад

    god level explanation

  • @tajveertyagi3084
    @tajveertyagi3084 2 года назад +5

    I think , you explained both concept vice versa
    1. Bagging sample subset (Only Rows) have all the features while node splitting all the features are consider
    2. Random Forest sample subset having Rows as well as random columns not all columns while splitting the node

    • @tusharkhatri5795
      @tusharkhatri5795 2 года назад

      Is it true ?? I am watching for first time so do let me know it its true

    • @chandank5266
      @chandank5266 Год назад +1

      No he have explained the concept correctly......I guess you skipped the coding part

  • @sandeepbehera3605
    @sandeepbehera3605 2 года назад

    nice explained

  • @usmanriaz6157
    @usmanriaz6157 Год назад +1

    is deciding randomly at node level is better then deciding based on information gain ?

  • @kindaeasy9797
    @kindaeasy9797 10 месяцев назад

    amazing video,

  • @rajtripathi95
    @rajtripathi95 5 месяцев назад

    This was a beauty

  • @ashiskar9531
    @ashiskar9531 2 года назад

    Thank you sir

  • @luffy6761.
    @luffy6761. Год назад +1

    sir please provide notes for this ml playlist

  • @balrajprajesh6473
    @balrajprajesh6473 2 года назад

    best!

  • @sukunabgmi1591
    @sukunabgmi1591 4 месяца назад

    So i have this doubt can we choose a mixture of algorithms in bagging?

  • @Seene_me_cinema
    @Seene_me_cinema 3 года назад +1

    Can we have a bagging technique that contains multiple models.. Like dt, svm, knn one each or we have to take 3 models of same time like 3 svm 3 knn and 3 dt?

    • @campusx-official
      @campusx-official  3 года назад

      Same algo as base models

    • @Seene_me_cinema
      @Seene_me_cinema 3 года назад

      @@campusx-official so in normal ensembles, different models can be taken right? But bagging is a spl case where same type of models can be taken but not dt, which is exclusive for RF?

  • @mh5_4_01
    @mh5_4_01 Год назад

    thanks sirrrrrrrrrrrr

  • @jiyabyju
    @jiyabyju Год назад

    😍

  • @pietersourbron2528
    @pietersourbron2528 3 года назад

    sorry man, hard to understand your accent, add subtitles and I subscribe