Linear discriminant analysis (LDA) - how to use it as a classifier

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  • Опубликовано: 29 сен 2024

Комментарии • 20

  • @abbasatashdehghan58
    @abbasatashdehghan58 2 года назад +2

    Another good video. I wish you would elaborate more on probabilities, in particular when more than two categories come into play. How probabilities are reported when we have three categories? Furthermore, it would be good if this video was accompanied by some explanations about QDA

    • @inamahdi7959
      @inamahdi7959 Год назад +1

      Would love to see QDA...hopefully, he will do it sometime in the future.

  • @uberheropatapon
    @uberheropatapon 3 года назад +1

    Great video! Helped me to understand what LDA is quickly. Keep it up with the videos!

  • @josebelmar5942
    @josebelmar5942 Год назад +1

    good video

  • @NishaWandile-e4i
    @NishaWandile-e4i Год назад

    Can you please let me know how to normalize weights after calculating eigen vector lda score function

    • @tilestats
      @tilestats  Год назад

      That is explained in the video before this one:
      ruclips.net/video/julEqA2ozcA/видео.html

  • @souvanikmaity4759
    @souvanikmaity4759 2 года назад

    How can I calculate Probability without the curve hight that you told in ruclips.net/video/9SuIE_tGF-g/видео.html ? How can I calculate it by hand without any software?

    • @tilestats
      @tilestats  2 года назад

      To calculate the height of the curve, simply calculate the height of the normal distribution curve as explained here:
      ruclips.net/video/8OkGwS4WWP4/видео.html
      at about 10 min.

  • @anuradhasriram7117
    @anuradhasriram7117 2 года назад

    Excellent video. How do you get 0.132 and 0.062 for a score of 30.8? Please guide me. Thank you

    • @tilestats
      @tilestats  2 года назад

      For example, 0.132 corresponds to the height, at 30.8, of a normal distribution curve with a mean of 32.29 and a standard deviation of one. If you like to know how to calculate the height of a normal distribution curve, watch:
      ruclips.net/video/8OkGwS4WWP4/видео.html

    • @anuradhasriram7117
      @anuradhasriram7117 2 года назад

      @@tilestats Got it. Thank you so much. I was able to substitute the values and get the answer.
      I am a beginner in Data science. I have some doubts in LDA equations and Probability of default calculation pertaining to credit risk. Is it ok to ask here?

  • @nicholasteong2485
    @nicholasteong2485 2 года назад

    Thank you. Your video helps me a lot

  • @sharp_guy2310
    @sharp_guy2310 2 года назад

    Are those values 0.7,0.11 are eigen vectors?

    • @tilestats
      @tilestats  2 года назад

      Yes, those values works as the first eigenvector, but at minute 17:48 in the LDA video you have the eigenvectors with unit length.

    • @sharp_guy2310
      @sharp_guy2310 2 года назад

      Can you put a video on how to find decision boundary with LDA on multiclass data?

    • @sharp_guy2310
      @sharp_guy2310 2 года назад

      @@tilestats thanks for your reply

  • @SurajGupta-bi3dj
    @SurajGupta-bi3dj 3 года назад

    Good work.