• Saturday , 21 September 2019

Bootstrap aggregating bagging

Code Canyon
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This video is part of the Udacity course “Machine Learning for Trading”. Watch the full course at https://www.udacity.com/course/ud501

Original source

3d Ocean

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24 Comments

  1. sai kumar dora
    August 20, 2019 at 15:06

    Way of explanation superb..
    Easy to understand..

  2. 燕思远
    August 20, 2019 at 15:06

    excellent explanation – many thanks, sir

  3. Pei Wang
    August 20, 2019 at 15:06

    really precise and easy understanding explanation, thank you, sir! really save my life 🙂

  4. Alex
    August 20, 2019 at 15:06

    Weird my school teaches n' should be the same size as n. Anyways it doesn't change that much i guess

  5. pepe6666
    August 20, 2019 at 15:06

    those bags look like slug aliens from mars. also i sneezed while watching this which proves illuminati did 9/11

  6. Infa tum
    August 20, 2019 at 15:06

    This is the best explanations on bagging I've ever seen. Many thanks 👍🙌👌

  7. gsrini
    August 20, 2019 at 15:06

    What algorithm is used in the model step. Is this applicable for any algorithm?

  8. TigasFMS
    August 20, 2019 at 15:06

    Great video. I have two questions. Since the data can be the same in the same subset it can also be exactly the same (although the chance is low ofc) on another subset right? In the case of random forests, since features are also selected randomly from the dataset, can they also be the same in different decision trees? Thanks in advance.

  9. Aakash Pandita
    August 20, 2019 at 15:06

    banging

  10. Babak Gohardani
    August 20, 2019 at 15:06

    thank you so much 🙂

  11. Hamzah sajid Khan
    August 20, 2019 at 15:06

    Could someone please explain to me what he meant by "you can simply wrap this up in an API"? How to do that and how does it help?

  12. Yifan cao
    August 20, 2019 at 15:06

    extremely clear

  13. s1234
    August 20, 2019 at 15:06

    well explained, thank you very much

  14. Ulises Munera
    August 20, 2019 at 15:06

    Thanks a lot!

  15. Mahi MSD
    August 20, 2019 at 15:06

    very well done…. gr8

  16. Zak Manion
    August 20, 2019 at 15:06

    Wow – great explanations on concepts most other people take 30 mins to explain with half the effect. Subscribed!

  17. Syed Taha
    August 20, 2019 at 15:06

    so we use single algo for all different bags? or different learners for different bags ?

  18. Jian Gong
    August 20, 2019 at 15:06

    Nice explanation

  19. Zhenghua Fu
    August 20, 2019 at 15:06

    Hi what tablet is it? Is it wacom? Will that be very expensive??

  20. Wood Gecko
    August 20, 2019 at 15:06

    only person who explained this properly imo

  21. Te-Yao Lee
    August 20, 2019 at 15:06

    Where does the unknown X come from?

  22. ABHIJIT JANTRE
    August 20, 2019 at 15:06

    Well explained.

  23. Evil Speculator
    August 20, 2019 at 15:06

    Very concise explanation – thanks for posting this!!

  24. Just Me
    August 20, 2019 at 15:06

    In every video, what you explain is fine but is not enough to explain the topic of your header

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