How to Detect Outliers with IQR and Boxplot? | Code Walkthrough in Python

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  • Опубліковано 5 вер 2024

КОМЕНТАРІ • 6

  • @machinelearningplus
    @machinelearningplus  3 місяці тому

    I teach complete ML Mastery Roadmap (self paced courses) to master Data Science from scratch: edu.machinelearningplus.com/s/pages/ds-career-path

  • @machinelearningplus
    @machinelearningplus  Рік тому +1

    Useful Links:
    Notebooks and Datasets:
    github.com/machinelearningplus/Build-Your-First-ML-Project/tree/main/12_How%20to%20detect%20Outliers%20with%20IQR%20and%20Box%20Plots
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  • @osoriomatucurane9511
    @osoriomatucurane9511 9 місяців тому

    Awesome tutorial. You did not explain the code that accounts for plotting multiple box plots. Where/how did you get input_numerical columns????

    • @machinelearningplus
      @machinelearningplus  9 місяців тому

      It is declared earlier in the code.. please see here: github.com/machinelearningplus/Build-Your-First-ML-Project/blob/main/12_How%20to%20detect%20Outliers%20with%20IQR%20and%20Box%20Plots/12_How%20to%20Detect%20Outliers%20with%20IQR%20and%20Boxplot.ipynb

  • @brunocesarpasquini
    @brunocesarpasquini Рік тому

    I liked this explanation, I would like to try it by myself, but I have not found the link for the dataset. Where is it?

    • @machinelearningplus
      @machinelearningplus  Рік тому +1

      Sure, you can find it here: github.com/machinelearningplus/Build-Your-First-ML-Project/blob/main/12_How%20to%20detect%20Outliers%20with%20IQR%20and%20Box%20Plots/12_How%20to%20Detect%20Outliers%20with%20IQR%20and%20Boxplot.ipynb Dataset is present in same repo.