Data Science for crime analysis project using python pandas - Outlier and Anomaly detection

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  • Опубликовано: 5 авг 2023
  • The main obejcetive of this project is to analyze the crime data to probe common problems in data analysis and science. It focuses on.
    1. Anomaly/Outlier detection using boxplots.
    2. Removing outliers in a dataset.
    The data used in the project can be found here github.com/Bonface-Osoro/JaTe... or downloaded straight from the website opendata.dc.gov/datasets/adul...
    The #jupyternotebook script for the project can be found here github.com/Bonface-Osoro/JaTe...

Комментарии • 11

  • @Itd-CONCEPT
    @Itd-CONCEPT 4 месяца назад +1

    I love you bro ❤. Nice you got me understanding data analysis well 🤝💥

  • @user-qr5bw6jo3d
    @user-qr5bw6jo3d 11 месяцев назад +1

    Good tutorial. Thanks🙏

    • @jateknikol
      @jateknikol  11 месяцев назад

      Thank you and stay tuned for more

  • @shifanishafi9554
    @shifanishafi9554 Месяц назад

    Hi sir Nice project which algorithm used

  • @samogh2931
    @samogh2931 11 месяцев назад

    Hello when will this complete? Is it data analytics project? Using what tools?

    • @jateknikol
      @jateknikol  11 месяцев назад

      Yes. It is a data analytics projects primarily using python

    • @samogh2931
      @samogh2931 11 месяцев назад

      @@jateknikol algorithm used?

    • @sushi-kun
      @sushi-kun 3 месяца назад

      Which algorithm??

  • @samogh2931
    @samogh2931 10 месяцев назад +1

    Is the project complete?

    • @jateknikol
      @jateknikol  10 месяцев назад

      Yes, except for the spatial pattern analysis part that I reserved for advanced section.