Logistic Regression Simply Explained with Examples

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  • Опубликовано: 22 авг 2024
  • Logistic Regression Simply Explained with Examples. Logistic Regression is a game-changer in the world of data analysis. It allows you to make predictions about binary outcomes, such as yes or no, true or false, and 0 or 1. From understanding customer behavior to predicting disease outbreaks, logistic regression has the power to help you make informed decisions and solve real-world problems with confidence. Find out more in this video!
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Комментарии • 3

  • @sds-superdatascience
    @sds-superdatascience  Год назад +2

    Thank you for subscribing and following our videos. You can find the course HERE:sds.courses/machine-learning-az

  • @bradlockerbie
    @bradlockerbie Год назад +1

    Tried loading in Safari, but it wouldn't let me. It appears to work in Firefox.

  • @jeetsaha1317
    @jeetsaha1317 Год назад

    My dependent variable in regression is binary 'yes' Or 'no'. Error term neither follows logistic distribution, nor normal distribution. What should I do now? Please help.