Mastering Multiple Linear Regression in Scikit-Learn: A Step-by-Step Guide

Поділитися
Вставка
  • Опубліковано 10 гру 2024

КОМЕНТАРІ • 19

  • @RyanAndMattDataScience
    @RyanAndMattDataScience  4 місяці тому

    Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
    Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg
    If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg
    Want to solve Python data interview questions: stratascratch.com/?via=ryan
    I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com
    *Both Datacamp and Stratascratch are affiliate links.

  • @davidissah1466
    @davidissah1466 8 місяців тому +2

    hey, man. i am from nigeria, africa. i am still in my learning phase of data science. no job, yet :)
    from the depth of my heart, i want to thank you for offering such immerse value. it's not easy, definitely, to churn out videos of this high quality and also, explain simply and with a high level of astuteness. your efforts and labours are not in vain. thank you once again

  • @xyzcrazy4231
    @xyzcrazy4231 9 місяців тому

    dude, this is awesome!! i've been learning machine learning to pursue a data analytics career and I've been taking some classes online, but none have gone too in depth when it comes to multiple independent variables. your coding is clean and your instructions are so thorough and precise! thanks so much for making this video!

  • @ДмитрийКолышницын-с2л

    You're unreal man!!! Thanks!!!

  • @ShiftKoncepts
    @ShiftKoncepts 8 місяців тому +1

    Hey how would you do it if the data was non linear? Meaning you’d have to use a polynomial with degree?

  • @OrangeTomato474
    @OrangeTomato474 Рік тому +2

    Does multiple regression work when you are trying to explain a factor using other factors rather than predicting??

    • @RyanAndMattDataScience
      @RyanAndMattDataScience  Рік тому

      It’s used when there are multiple factors going into a prediction. Although imo not the best model

  • @A-K-I-R-A-
    @A-K-I-R-A- 11 місяців тому

    Your tutorials are very good, thank you!

  • @harshitsahu5849
    @harshitsahu5849 6 місяців тому

    Hey man, quality lectures. Love them. It'd great if you could rearrange the playlist a bit so as to provide a better flow and sequence of lectures.
    Off-Topic but i think there are better suited hairstyles for you. Why don't you try a fade? That'd look far better imho.

    • @RyanAndMattDataScience
      @RyanAndMattDataScience  6 місяців тому

      Which playlist are you looking at?

    • @harshitsahu5849
      @harshitsahu5849 6 місяців тому

      @@RyanAndMattDataScience Data Science Bootcamp. It is fairly well-sequenced, but could be improved for people who are new to the whole Data Science or ML bit.

  • @marianaparrinha7551
    @marianaparrinha7551 2 місяці тому

    how to plot the linear regression for multidimentional data?

  • @migamafiri6473
    @migamafiri6473 9 місяців тому

    High display quality of the 'code environment V

  • @andyhong3003
    @andyhong3003 7 місяців тому

    Another great video! In following your tutorial exactly: from sklearn.linear_model import LinearRegression; lr = LinearRegression(), and then lr.fit(X_train, y_train). I am getting a "name 'ir' is not defined" error. Do you know a quick why? Thanks!

    • @andyhong3003
      @andyhong3003 7 місяців тому

      "name 'lr' is not defined"