Bagging | Introduction | Part 1

แชร์
ฝัง
  • เผยแพร่เมื่อ 4 ก.ค. 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...
    ============================
    Do you want to learn from me?
    Check my affordable mentorship program at : learnwith.campusx.in/s/store
    ============================
    📱 Grow with us:
    CampusX' LinkedIn: / campusx-official
    CampusX on Instagram for daily tips: / campusx.official
    My LinkedIn: / nitish-singh-03412789
    Discord: / discord
    E-mail us at support@campusx.in
    ⌚Time Stamps⌚
    00:00 - Intro
    00:25 - Plan of attack
    01:50 - What is Bagging
    14:32 - Code Demo
    30:50 - Outro

ความคิดเห็น • 29

  • @lego-xq4fh
    @lego-xq4fh ปีที่แล้ว +14

    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 ปีที่แล้ว +3

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

  • @siyays1868
    @siyays1868 ปีที่แล้ว +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 ปีที่แล้ว +4

    Good Job! A good explanation. Thanks !

  • @narendraparmar1631
    @narendraparmar1631 5 หลายเดือนก่อน

    Very easy explanation
    Thanks for your efforts.

  • @paruldamahe7969
    @paruldamahe7969 2 ปีที่แล้ว +1

    Very good explanation

  • @PravinKumar-eh7ds
    @PravinKumar-eh7ds 2 ปีที่แล้ว

    The good explanation

  • @vinaynaik953
    @vinaynaik953 2 ปีที่แล้ว +1

    Great 👍

  • @ParthivShah
    @ParthivShah 3 หลายเดือนก่อน +1

    Thank You Sir.

  • @MrGaurav525
    @MrGaurav525 ปีที่แล้ว

    Nicely explained

  • @sandipansarkar9211
    @sandipansarkar9211 2 ปีที่แล้ว

    finished watching

  • @aarifansari9097
    @aarifansari9097 2 ปีที่แล้ว

    thank u sir

  • @ShubhamSingh-lx6fd
    @ShubhamSingh-lx6fd ปีที่แล้ว

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

  • @balrajprajesh6473
    @balrajprajesh6473 ปีที่แล้ว

    best!

  • @theartistbhavik
    @theartistbhavik 2 หลายเดือนก่อน

    Great !

  • @luffy6761.
    @luffy6761. ปีที่แล้ว

    sir please provide notes for this ml playlist

  • @sonal008
    @sonal008 ปีที่แล้ว

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

  • @naveenk_ai
    @naveenk_ai ปีที่แล้ว

    3:28

  • @saswotnayak7472
    @saswotnayak7472 2 ปีที่แล้ว

    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 ปีที่แล้ว +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 ปีที่แล้ว

    Sir mera accuracy 100 % kyu aa ra h??

  • @zero44559
    @zero44559 10 หลายเดือนก่อน

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

  • @sandipansarkar9211
    @sandipansarkar9211 2 ปีที่แล้ว +1

    finished coding

  • @AnjaliSharma-lq8ut
    @AnjaliSharma-lq8ut หลายเดือนก่อน +1

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

  • @yashjain6372
    @yashjain6372 ปีที่แล้ว +1

    best