Bagging | Introduction | Part 1

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  • Опубліковано 20 лип 2024
  • Bagging, or Bootstrap Aggregating, is an ensemble method that involves training multiple models independently on different subsets of the training data. These models are then combined through averaging or voting to make predictions. Bagging reduces variance and improves the stability and accuracy of the final model, making it a popular choice in machine learning.
    Code used: github.com/campusx-official/b...
    Bias Variance Tradeoff: • Bias Variance Trade-of...
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    ⌚Time Stamps⌚
    00:00 - Intro
    00:25 - Plan of attack
    01:50 - What is Bagging
    14:32 - Code Demo
    30:50 - Outro

КОМЕНТАРІ • 29

  • @lego-xq4fh
    @lego-xq4fh Рік тому +16

    Sir aapme mujhe Bhawaan Ram dikhte hain.
    Your nature is just like Bhagwaan's nature. So calm, gentle and selfless .
    Thanks a lot . 🙏

  • @muhammadazeem5549
    @muhammadazeem5549 2 роки тому +3

    kll mayra exam hn and may soch raha kaash ya banda mujhn phlay mill jata but now i really thank you best UA-camr for Machine learning

  • @siyays1868
    @siyays1868 Рік тому +6

    Hatts off to u & ur channel! Really how every time this guy gives an amazing explaination! Ur teaching style is really unique actually the best. Thanku so much for working so hard. Very greatful to u sir. U r wonderful teacher with thorough & accurate knowledge , best representation skill & way of explaination no words for that..🙏🙏🙏🙏👍👍👍👍

  • @donwattage7938
    @donwattage7938 2 роки тому +4

    Good Job! A good explanation. Thanks !

  • @narendraparmar1631
    @narendraparmar1631 6 місяців тому

    Very easy explanation
    Thanks for your efforts.

  • @paruldamahe7969
    @paruldamahe7969 2 роки тому +1

    Very good explanation

  • @PravinKumar-eh7ds
    @PravinKumar-eh7ds 2 роки тому

    The good explanation

  • @vinaynaik953
    @vinaynaik953 2 роки тому +1

    Great 👍

  • @ParthivShah
    @ParthivShah 3 місяці тому +1

    Thank You Sir.

  • @MrGaurav525
    @MrGaurav525 Рік тому

    Nicely explained

  • @sandipansarkar9211
    @sandipansarkar9211 2 роки тому

    finished watching

  • @aarifansari9097
    @aarifansari9097 2 роки тому

    thank u sir

  • @ShubhamSingh-lx6fd
    @ShubhamSingh-lx6fd Рік тому

    Sir, we didn't added new rows so avoid variance .

  • @theartistbhavik
    @theartistbhavik 3 місяці тому

    Great !

  • @balrajprajesh6473
    @balrajprajesh6473 Рік тому

    best!

  • @luffy6761.
    @luffy6761. Рік тому

    sir please provide notes for this ml playlist

  • @naveenk_ai
    @naveenk_ai Рік тому

    3:28

  • @sonal008
    @sonal008 Рік тому

    Please make a playlist of Bagging so that we get all of lectures in one

  • @saswotnayak7472
    @saswotnayak7472 2 роки тому

    don't you think bootstrapping is sampling with replacement, but not with out replacement? I think you got it wrong at 4:00. Other than that great video.

    • @Julaiarvind
      @Julaiarvind 2 роки тому +1

      Bagging by default works with Bootstrap that means sampling with replacement
      if Bootstrap turned down then we can have manual selection of sample which is sampling without replacement
      sir meant in that way😊

  • @anshulsharma7080
    @anshulsharma7080 Рік тому

    Sir mera accuracy 100 % kyu aa ra h??

  • @AnjaliSharma-lq8ut
    @AnjaliSharma-lq8ut 2 місяці тому +2

    i am going to change my name, if anyone find better ML content than this.

  • @zero44559
    @zero44559 10 місяців тому

    bhai apka playlist mai follow karta hu , lekin aap confuse karne ka koe kasar nahi chhodate , bahut confuse karte ho aap.

  • @sandipansarkar9211
    @sandipansarkar9211 2 роки тому +1

    finished coding

  • @yashjain6372
    @yashjain6372 Рік тому +1

    best