Learn How to Boost Your Python Sklearn Models with GridsearchCV!

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  • Опубликовано: 21 сен 2024
  • In this video, I will show you how to optimize a support vector machine (SVM) learning model using gridsearchCV from scikit-learn (sklearn). I will also demonstrate this improvement visually using a scatter plot from seaborn.
    SVMs are a powerful machine learning algorithm that can be used for both classification and regression tasks. However, they can be difficult to tune, as they have a number of hyperparameters that can affect their performance. GridsearchCV is a powerful tool that can be used to automate the process of tuning hyperparameters.
    In this video, I will walk you through the steps involved in using gridsearchCV to optimize an SVM model. I will also show you how to visualize the improvement in performance that is achieved by optimizing the model.
    This video is for anyone who wants to learn how to optimize SVM models in Python. No prior knowledge of SVMs or gridsearchCV is required.
    Here is the github link to the notebook: github.com/chr...

Комментарии • 17

  • @brianmatadua
    @brianmatadua 2 месяца назад +2

    Explaining complex subjects with your calm, composed, deep voice paired with the slow jazz music background of your choosing make me feel like I am in a private tutoring session with you in an empty bar. I am all for it! Thank you!

    • @CJP3
      @CJP3  2 месяца назад

      My pleasure! Thank you for the kind words!

  • @benwinstanleymusic
    @benwinstanleymusic 6 месяцев назад +2

    Thank you so much for this video, really great explanations and presentation with just the right amount of detail.

    • @CJP3
      @CJP3  6 месяцев назад

      You're very welcome! Have a great day!! 🙏🏽

  • @ichrakhammioui8824
    @ichrakhammioui8824 9 месяцев назад +1

    Amazing, thank you so much, your explination is so clear

    • @CJP3
      @CJP3  9 месяцев назад

      Thank you!!🙏🏽

  • @pavloOps
    @pavloOps Год назад +1

    You are the best!! Thank you a lot ❤

    • @CJP3
      @CJP3  Год назад

      Thank you very much!!

  • @AhmedMOHAMED-l7w1d
    @AhmedMOHAMED-l7w1d 6 месяцев назад +1

    Thank you for your great explanation

    • @CJP3
      @CJP3  6 месяцев назад

      Glad it was helpful!! 🙏🏽

  • @CJP3
    @CJP3  Год назад +2

    Have you used gridsearchcv? 👀 🙋🏾‍♂️

    • @deltax7159
      @deltax7159 4 месяца назад

      Just learned about the optuna library for hyperparameter optimization. Gotta love ol gridsearchCV. Just have to take advantage of parallelization for models like random forest and xgboost. Can take awhile to search without. Great video!

    • @CJP3
      @CJP3  4 месяца назад

      @@deltax7159 great build! I’ll also check out optuna

  • @infial..
    @infial.. 20 дней назад

    How can I modify my jpynb to look like exactly like yours? I don't see a tab like yours while constructing classes. Help!!

    • @CJP3
      @CJP3  20 дней назад

      Howdy, do you mean dark mode in Jupyter?

  • @cagataytekin6372
    @cagataytekin6372 2 месяца назад

    imparator

    • @CJP3
      @CJP3  2 месяца назад

      👍🏽