Quadratic Polynomial Regression Model | Solved Example | Machine Learning by Dr. Mahesh Huddar

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  • Опубліковано 3 січ 2025

КОМЕНТАРІ • 20

  • @AlexRixon
    @AlexRixon Рік тому +1

    ❤ this!
    This was an excellent worked example.

  • @Bidhan_Ranjan_Bhoi
    @Bidhan_Ranjan_Bhoi 2 роки тому

    Thank you sir for making.. Tomorrow is my IDS Exam..And i completely understood how to solve the polynomial regression problem..
    This video helped a lot..

  • @jackkoscheka1659
    @jackkoscheka1659 Рік тому

    Thanks! You made this very easy to understand

  • @tasnimshamsuddin7727
    @tasnimshamsuddin7727 2 роки тому +1

    Thank you for your explanation sir. We'll understood. Isn't the third equation first variable be (y x^2) 27.5*135=3712.5

  • @dehmy1623
    @dehmy1623 Рік тому

    Thanks so much

  • @johnfredricks3870
    @johnfredricks3870 Рік тому

    Is your last datapoint 7,11.5 or 7,12? You switched it after minute mark 0:30. I suppose you intend 11.5 since your yx result shows 80.5 instead of 84

  • @yahiagamal937
    @yahiagamal937 2 роки тому

    HI Dr
    there's no links for the other examples

  • @abhaykrishan734
    @abhaykrishan734 2 роки тому +2

    Sir matrix kase solve kya hai

  • @Shorts71257
    @Shorts71257 2 роки тому

    How did we get a0,a1,a2 value

    • @yahiagamal937
      @yahiagamal937 2 роки тому +4

      it is math, generally, if u have 2 unknowns, u will need 2 equations,
      3 unknown, 3 equations
      4 unknowns, 4 equations, and so on.
      A simple example that u can give u understanding of getting knowns from equations:
      x+y=1 -----(1)
      2x+y=2-----(2)
      from (1), y = 1-x -----(3)
      put (3) in (2)
      2x+(1-x)=2,
      2x+1-x=2,
      x+1=2
      then x = 2/1 = 2 -----(4)
      put (4) again in (1)
      (2)+y=1,
      y=1-2,
      then y = -1
      Now apply this concept in a0,a1,a2 . it will take more time because they are 3 unknowns, but you will get them in the end.
      Good luck