Logistic Regression Algorithm in Machine Learning with Solved Numerical Example by Mahesh Huddar

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  • Опубликовано: 4 окт 2024
  • Logistic Regression Algorithm in Machine Learning with Solved Numerical Example by Mahesh Huddar
    Logistic Regression Algorithm: • Logistic Regression Al...
    Logistic Regression Applications Advantages Linear Regression vs Logistic Regression: • Logistic Regression Ap...
    Logistic Regression Solved Numerical Example: • 1. Logistic Regression...
    The following concepts are discussed:
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    logistic regression numerical,
    logistic regression in python,
    logistic regression example,
    logistic regression explained,
    logistic regression in excel,
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    logistic regression numpy,
    logistic regression vs linear regression
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Комментарии • 20

  • @creatorm1786
    @creatorm1786 Год назад +9

    Please provide some more mathematical problem solve over logistics regression with binary and multiclass

  • @sVenkatrao
    @sVenkatrao Месяц назад

    Wonderful class sir

  • @empress_of_beats
    @empress_of_beats Год назад +6

    sir when typed in calculator,the e value comes ut to be 0. then p(x) should be 1
    can you explain the 0.44 value??

    • @MaheshHuddar
      @MaheshHuddar  Год назад +2

      Better you follow this video for numerical on Logistic Regression
      ruclips.net/video/UCOm-LFKX9E/видео.html

    • @madhavmoole3977
      @madhavmoole3977 Год назад +1

      its most likely because of calculator's limitations as e ^-481 is very large number

  • @rainbowrainbow-m3v
    @rainbowrainbow-m3v 26 дней назад

    Thank you sir❤❤❤❤❤❤

  • @sirishayerraboina660
    @sirishayerraboina660 Год назад +2

    Clear explanation sir,ur videos are nice.

    • @MaheshHuddar
      @MaheshHuddar  Год назад +1

      Thank You
      Do like share and subscribe

  • @tonibest7965
    @tonibest7965 Год назад +1

    Awesome ! , let me ask you please why we take log on odds formula to predict the odds of success ? i don't get it😇

    • @无机盐-c7h
      @无机盐-c7h 2 месяца назад

      when p is large, (e.g. p = 0.999999999) the odds will be infinite. If we take log on odds, it would ensure the result maintains between 0 and 1 without changing the correlation of each variables.

  • @swapnasaste2008
    @swapnasaste2008 Год назад

    Sir tussi great Ho

    • @MaheshHuddar
      @MaheshHuddar  Год назад +1

      Thank you
      Do like share and subscribe

  • @jemshussdsbc4775
    @jemshussdsbc4775 9 месяцев назад

    Thanks alot

    • @MaheshHuddar
      @MaheshHuddar  9 месяцев назад

      Welcome
      Do like share and subscribe

  • @sanidhyajain1828
    @sanidhyajain1828 Год назад

    thank you!

  • @rohitvishwakarma6254
    @rohitvishwakarma6254 Год назад

    Yes perfect timing ❤

  • @prashantpurohit548
    @prashantpurohit548 Год назад

    Just in time!

    • @MaheshHuddar
      @MaheshHuddar  Год назад

      Thank You
      Do like share and subscribe