DBSCAN Clustering: Stop #4 on Your DIY Data Science Roadmap

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  • Опубликовано: 24 ноя 2024

Комментарии • 11

  • @DaveOnData
    @DaveOnData  Месяц назад

    Save 20% off my machine learning online courses using code RUclips ⬇
    Cluster Analysis with Python online course:
    bit.ly/ClusterAnalysisWithPythonCourse
    My "Intro to Machine Learning" online course:
    bit.ly/TDWIIntroToML

  • @michaelt312
    @michaelt312 Месяц назад +2

    Another happy Wednesday with another incredibly educational video from David.

    • @DaveOnData
      @DaveOnData  Месяц назад +1

      As always, thank you so much for supporting the channel!

  • @davidghope1
    @davidghope1 Месяц назад +1

    Another fantastic video, makes it so understandable and doable - just great😊

    • @DaveOnData
      @DaveOnData  Месяц назад

      I'm very happy to hear that you are enjoying my crash courses!

  • @rauljg143
    @rauljg143 Месяц назад +1

    Thank you for this. Your explanations and examples were really great. I'm doing this in R but it translated perfectly for me. 👏

    • @DaveOnData
      @DaveOnData  Месяц назад

      Woohoo! Glad you found the crash course useful.

  • @VastCNC
    @VastCNC Месяц назад +1

    Thank you again.

    • @DaveOnData
      @DaveOnData  Месяц назад

      My pleasure! I hope you find the video useful.

    • @VastCNC
      @VastCNC Месяц назад +2

      This actually peaks a particular interest. I’ve been needing a system to apply a k means centroid to a rectangular viewport (map), I’m only 10min in, but I’m thinking this may be a bit more useful to apply to rectangular map shapes

    • @DaveOnData
      @DaveOnData  Месяц назад

      Yes, DBSCAN may prove more useful in this scenario.