Machine Learning with Python! Mean Squared Error (MSE)

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  • Опубліковано 25 жов 2024

КОМЕНТАРІ • 6

  • @AdrianDolinay
    @AdrianDolinay  3 роки тому +1

    Please note that the MSE formula notation at the top of the notebook is incorrect. 1/N is not included. The notebook on GitHub has been updated with the correction.

  • @dargi_amorim
    @dargi_amorim 11 місяців тому

    Thanks for the video ! Very useful
    I just noticed that you have a playlist of brazilian music in your channel and I happen to be from there, so thanks from Brazil :)

  • @ingebrigtkjreng8452
    @ingebrigtkjreng8452 2 роки тому

    Could you do a way of minimizing the MSE with Newton's method in Python with a table of intermediate values and errors ei/ei-1, ei/ei^2-1?

  • @talhihadjer8480
    @talhihadjer8480 2 роки тому

    thank you so much your video is so helpfull, i'm searching for how i can calculate the Mean Squared Error of non_linear regression and i didn't find it can you help me pls!!!

    • @AdrianDolinay
      @AdrianDolinay  2 роки тому

      It will still be the same process where you subtract the observed values by the predicted values and square the difference. Happy to take a look at your script or notebook if you want to share it.

    • @khushidonda7168
      @khushidonda7168 Рік тому

      @@AdrianDolinay hey i wanted to do it by liner regression can u help me