End to End Hyper Parameter Optimization in Machine Learning | RandomizedSearchCV vs GridSearchCV

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  • Опубликовано: 27 окт 2024

Комментарии • 12

  • @SupriyaBhowmik-z9k
    @SupriyaBhowmik-z9k 2 месяца назад +1

    Thank you for the insightful machine learning video series! Your clear explanations have sparked my curiosity and deepened my understanding of the subject. I'm truly grateful for the knowledge you've shared.

  • @journey-of-learn
    @journey-of-learn 2 месяца назад +2

    Thank you sir..... 🙏🙏🙏
    Your video help me lots....
    To understand.. The data analyst... Maind set.. And roll.... 🤘🤘

  • @Djpapaturndownforwhat
    @Djpapaturndownforwhat 2 месяца назад +1

    This was very nice, do keep uploading more and more content🙌🏻

  • @sonujack1
    @sonujack1 2 месяца назад

    Thank you sir. Soon I'll be joining your course too. Not for videos but for that Whatsapp channel.

  • @sasivardhini4224
    @sasivardhini4224 2 месяца назад

    please continue this playlist

  • @michaeljayanth6182
    @michaeljayanth6182 2 месяца назад +1

    great explanation

  • @prakushshende6593
    @prakushshende6593 2 месяца назад

    Thank you sir

  • @JankoXA
    @JankoXA 2 месяца назад

    Great video. Thanks a lot. Can you share the code for HPO?

  • @ghostofuchiha8124
    @ghostofuchiha8124 2 месяца назад +1

    Hi Satya ,
    I just want to know how does a ML model handle data once its deployed in production.? Like when we build a model we scale the data , remove nulls ,transform it and then use it , but how does all this happen in already deployed models? Because a normal day to day life will have all the uncleaned data. Please help , I m really confused. I can build the ml , dl , transformers etc but am confused how is data preprocessing tackled after model is deployed .
    Basically how is all preprocessing captured in the model to be used after deployment , is it through columntransformers and pipelines or are there any other steps or is it under mlops umbrella ?

    • @SatyajitPattnaik
      @SatyajitPattnaik  2 месяца назад

      @@ghostofuchiha8124 perfect question, will answer it in a shorts 😀