Bagging | Introduction | Part 1

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  • Опубликовано: 29 июл 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

Комментарии • 29

  • @lego-xq4fh
    @lego-xq4fh Год назад +20

    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 года назад +3

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

  • @siyays1868
    @siyays1868 Год назад +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 года назад +5

    Good Job! A good explanation. Thanks !

  • @narendraparmar1631
    @narendraparmar1631 6 месяцев назад

    Very easy explanation
    Thanks for your efforts.

  • @paruldamahe7969
    @paruldamahe7969 2 года назад +1

    Very good explanation

  • @ParthivShah
    @ParthivShah 4 месяца назад +1

    Thank You Sir.

  • @vinaynaik953
    @vinaynaik953 2 года назад +1

    Great 👍

  • @MrGaurav525
    @MrGaurav525 Год назад

    Nicely explained

  • @PravinKumar-eh7ds
    @PravinKumar-eh7ds 2 года назад

    The good explanation

  • @sandipansarkar9211
    @sandipansarkar9211 2 года назад

    finished watching

  • @aarifansari9097
    @aarifansari9097 2 года назад

    thank u sir

  • @ShubhamSingh-lx6fd
    @ShubhamSingh-lx6fd Год назад

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

  • @theartistbhavik
    @theartistbhavik 3 месяца назад

    Great !

  • @luffy6761.
    @luffy6761. Год назад

    sir please provide notes for this ml playlist

  • @balrajprajesh6473
    @balrajprajesh6473 Год назад

    best!

  • @AnjaliSharma-lq8ut
    @AnjaliSharma-lq8ut 2 месяца назад +5

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

  • @sonal008
    @sonal008 Год назад

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

  • @naveenk_ai
    @naveenk_ai Год назад

    3:28

  • @saswotnayak7472
    @saswotnayak7472 2 года назад

    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 года назад +2

      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 Год назад

    Sir mera accuracy 100 % kyu aa ra h??

  • @zero44559
    @zero44559 10 месяцев назад

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

  • @sandipansarkar9211
    @sandipansarkar9211 2 года назад +1

    finished coding

  • @yashjain6372
    @yashjain6372 Год назад +1

    best