What is Logistic Regression? #9

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  • Опубликовано: 11 сен 2024

Комментарии • 29

  • @ishwarshrestha2965
    @ishwarshrestha2965 4 месяца назад +1

    I like your teaching very much here in Nepal. You are excellent!

    • @bkrai
      @bkrai  4 месяца назад

      Thanks for your comments!

  • @andresg3110
    @andresg3110 2 года назад +1

    We love you here in Colombia! You are the best!

    • @bkrai
      @bkrai  2 года назад

      Thanks for comments!

  • @arunjohn492
    @arunjohn492 2 года назад +1

    The Legend is Back !! Will watch it sir !!

    • @bkrai
      @bkrai  2 года назад

      :) Thanks!

  • @namelessbecky
    @namelessbecky 21 день назад +1

    Thank you

    • @bkrai
      @bkrai  21 день назад

      You're welcome!

  • @rajpopat2099
    @rajpopat2099 Год назад +1

    Very insightful video

    • @bkrai
      @bkrai  Год назад

      Thanks for comments!

  • @dimplekashyap1
    @dimplekashyap1 2 года назад +1

    Very informative 👌🏼👌🏼

    • @bkrai
      @bkrai  2 года назад

      Thanks 😊

  • @sarojrai9326
    @sarojrai9326 2 года назад +1

    Keep uploading thank you sir

    • @bkrai
      @bkrai  2 года назад

      You are welcome!

  • @flamboyantperson5936
    @flamboyantperson5936 2 года назад +1

    Sir I have been watching your videos since 2017

    • @bkrai
      @bkrai  2 года назад

      Thanks!

  • @brazilfootball
    @brazilfootball 2 года назад

    Great video, thank you! I noticed that the degrees of freedom go down as more variables are added to the model. Is anything "lost" when DF are lost (is power lost)? Are there any implications when DF drop below a certain number relative to the sample size?

  • @tadessemelakuabegaz9615
    @tadessemelakuabegaz9615 2 года назад +1

    Dear Rai, Thank you so much for your lecture on logistic regression. I have 1 question. I asked this question previously. I am doing a machine learning model using the RandomForest and XGBoost algorithms. My data is a survey of samples derived from a large population. My data has a sampling weight which is the number of individuals in the population each respondent in the sample is representing. How can I apply this sampling weight in my ML model? The data also contains strata and clusters. Do I have to keep the sampling weight, strata, and cluster variables with my features?

    • @bkrai
      @bkrai  2 года назад

      I think that should help improve model performance.

  • @sallu.mandya1995
    @sallu.mandya1995 2 года назад +1

    Thanks a lot sir

    • @bkrai
      @bkrai  2 года назад

      Most welcome!

  • @landersebastian7886
    @landersebastian7886 2 года назад +1

    Good day sir! May I ask for your help

    • @bkrai
      @bkrai  2 года назад

      Yes let me know.

    • @landersebastian7886
      @landersebastian7886 2 года назад +1

      I am having a Hard time on how to use ordinal logistic regression on BMI

    • @landersebastian7886
      @landersebastian7886 2 года назад +1

      I am needing this for my thesis paper

    • @bkrai
      @bkrai  2 года назад

      Use this link:
      ruclips.net/video/qkivJzjyHoA/видео.html

    • @landersebastian7886
      @landersebastian7886 2 года назад +1

      Thank you sir