Linear Regression with Gradient Descent From Scratch with Numpy

Поділитися
Вставка
  • Опубліковано 31 гру 2024

КОМЕНТАРІ •

  • @John-xi2im
    @John-xi2im 8 місяців тому

    amazingly explained tutorial! The concept was explained with the most simplistic but complete explanation possible! thanks a lot !

  • @ruwindananayakkara1942
    @ruwindananayakkara1942 2 роки тому +2

    Great work man, It would be great to see what you are typing, when you are typing it. Kind of frustrating to wait for a scroll

  • @ronyakar8321
    @ronyakar8321 3 роки тому +1

    Super informative! Keep it up

  • @munocat
    @munocat 3 роки тому +2

    Very informative, thank you

  • @xdarshan
    @xdarshan 3 роки тому +1

    how would we do it for multiple x values?

    • @TheTeenInnovator
      @TheTeenInnovator  3 роки тому

      Could you specify your question more, like do you want to do multivariate regression?

    • @xdarshan
      @xdarshan 3 роки тому +1

      @@TheTeenInnovator yeah!

    • @TheTeenInnovator
      @TheTeenInnovator  3 роки тому

      Yeah so that's a great question! You essentially just need to add n columns to the X data your analysing and then your equation becomes a little different, and as dimensionality increases so does complexity (it's fascinating!) I would start here bit.ly/3lGNvJo, and Andrew Ng's Course Explains it beautifully

    • @xdarshan
      @xdarshan 3 роки тому +1

      @@TheTeenInnovator ahm, i still do not understand. it would be great if you could make a follow up video :) i get it conceptually, but can't put it to code

    • @TheTeenInnovator
      @TheTeenInnovator  3 роки тому +3

      Alright I gotchu, I will make a tutorial in the next few days I think many other people benefit from it, it seems like its a pretty confusing topic to understand