Building Machine Learning Pipeline using Scikit-Learn

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  • Опубліковано 17 лис 2024
  • Hey everyone,
    In this video I have shown how to build a ML pipeline that perform entire preprocessing on your behalf given any dataset.
    Building ML Pipeline Article:
    / building-machine-learn...
    Connect with me on Instagram:
    / insightsbyrish
    #machinelearning
    #python
    #pipeline
    #sklearn
    Connect with me on Instagram:
    InsightsByRish
    Thanks for watching!
    Please LIKE, SHARE and SUBSCRIBE if you enjoyed the content.

КОМЕНТАРІ •

  • @MuhammadEhtisham-cm5vr
    @MuhammadEhtisham-cm5vr 3 місяці тому

    great work mam

  • @yashsinghal7471
    @yashsinghal7471 3 місяці тому

    that's too good.. 🙌🙌

  • @tharunbhaskar6795
    @tharunbhaskar6795 3 місяці тому

    Thanks. Really informative. Need a video explaining the differences between different models and when to use where. Like in which scenarios NavieBayes will be useful and in which the SVM classifier will be useful

    • @InsightsByRish
      @InsightsByRish  3 місяці тому

      Thanks for appreciation. Will make a video soon about that!

  • @bertobertoberto3
    @bertobertoberto3 3 місяці тому

    Good. How do you extract the features? For analyzing which feature is the most important ones

    • @InsightsByRish
      @InsightsByRish  3 місяці тому +1

      You can use the correlation method to extract important features. Features with higher absolute values of the correlation coefficient typically tend to be more important.
      I hope this addresses your question.