Feature Engineering Techniques-Machine Learning | தமிழ்

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  • Опубликовано: 22 дек 2024

Комментарии • 10

  • @vasutke1187
    @vasutke1187 День назад +1

    Madam
    Late aga Vandhalum Latest.
    Yes.. I mean your Channel.
    Your Videos are with Latest Technology and Topics
    Latest Methods of Teaching
    And Practical Example.
    Easy to Understand.
    Video Presentation also ultimate.
    Will Help Many.
    Best Wishes

  • @gowthama757
    @gowthama757 5 дней назад +1

    Best explanation about feature engineering in Tamil! Before I saw this video, I was confused about the concepts of oversampling, undersampling, and SMOTE. This video provided clear knowledge about these concepts. Please keep posting more of this kind of cool stuff! keep rocking mam

  • @Bairavi_Vlogs
    @Bairavi_Vlogs 10 дней назад +1

    But Feature Engineering is about selection of features which influence the prediciton of ML model or creation of new feature out of existing features to get better result.Isn't it?

    • @ds_with_keerthi
      @ds_with_keerthi  10 дней назад +1

      @@Bairavi_Vlogs yes it is partly correct what you are mentioning is called 'feature selection' the next stage after these 5 techniques. This is the foundation like fixing the data in hand, next stage is selection will cover that in upcoming videos.

    • @Bairavi_Vlogs
      @Bairavi_Vlogs 10 дней назад +1

      I am using streamlit framework as UI for the developed model.User can give the input and get the result.what are other frameworks used in industry?Other than Django and Flask.Is it mandatory to present model in any one of these frameworks?

    • @ds_with_keerthi
      @ds_with_keerthi  10 дней назад +1

      @Bairavi_Vlogs yes it is necessary because the endusers, who will actually be using the model might not be a python person, so inorder for everyone to access our model we need to expose the model with user friendly UI using streamlit, django, flask or any other framework u wish!

  • @August1620
    @August1620 10 дней назад +1

    Is Data cleaning is the part of Data Preproceeeing?