299 - Evaluating sklearn model using KFold cross validation​ in python

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  • Опубликовано: 24 янв 2025
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Комментарии • 17

  • @Master_of_Chess_Shorts
    @Master_of_Chess_Shorts Год назад +1

    You are one of the best data science teacher out there. Thanks for your good work and approach. You explain very well on a wide range of topics.

  • @caiyu538
    @caiyu538 Год назад

    I used this module a lot during my work. thank for these great free libraries, it make data scientists easier. Most of work is to glue the data to these libraries.

  • @newcooldiscoveries5711
    @newcooldiscoveries5711 Год назад

    Been enjoying this KFold series. Looking forward to the next one. Thanks.

  • @Gingeey23
    @Gingeey23 Год назад

    Great video. Just to clarify, is the purpose of cross-validation to tune the hyperparameters of models on a variety of different train_test splits to avoid overfitting? Cheers!

    • @DigitalSreeni
      @DigitalSreeni  Год назад +1

      Yes, the main purpose of cross-validation is to estimate the performance of a model on an independent dataset and to tune the hyperparameters of the model to avoid overfitting.

  • @marcinmaleszewski2023
    @marcinmaleszewski2023 Год назад

    Thanks!

  • @DmitriiTarakanov
    @DmitriiTarakanov Год назад

    Dear Sreeni, thank you so much for your work! Have a good one!

  • @maheshmaskey4592
    @maheshmaskey4592 8 месяцев назад

    Good post. By the way, how do we select the best model after cross-validation? I am more interested in regression than classification. Have you tried using a multivariate polynomial regression model so that we could establish an empirical relation?

  • @11111653
    @11111653 Год назад

    how to print roc curve for overall cross validation?
    i have been trying to print roc curve but it shows me error apparently because i got different counts of tprs/fprs on each fold that prevents the code from showing

  • @guiomoff2438
    @guiomoff2438 Год назад

    Before doing a crossvalidation, shoudn't you use a dimentionnality reduction technique to determine if all features are necessary for your training? Thanks by advance if you take the time to answer me!

  • @Athens1992
    @Athens1992 Год назад

    nice video, one silly question u are using in a pipeline minmaxScaler how does know the cross_val_score to apply minmax_score on X_array? I know it's silly question about I have the question because u don't transform your pipeline to X_array

  • @maryamshehu8842
    @maryamshehu8842 Год назад

    Hi Thanks for the video.Code Generated is not in the github file you shared

  • @malithabasuri4491
    @malithabasuri4491 Год назад

    Hi, great video series. Can you start a video series about medical image processing and ML like 3D MRI processing, stopping leaky validations and etc. It would be really useful because there aren't many resources.

  • @ajay0909
    @ajay0909 Год назад

    Hi sir, i have been trying to implement video classification using CNN. All the content or tutorials out there are quite hard to implement or maybe I got used to your detailed explanation. Please do a tutorial on how to load video data. Thanks for all the high quality content.

  • @DineshSereno
    @DineshSereno Год назад

    Thanks!