GridSearchCV | Hyperparameter Tuning | Machine Learning with Scikit-Learn Python

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  • Опубликовано: 25 ноя 2024

Комментарии • 64

  • @krimsonsun10
    @krimsonsun10 Год назад +3

    DUDE!!! You are the Guru among common minds. This was the best explanation ever. Simple succinct and easily understandable for a newbie like me. I also like you give extra homework, and nuggets of knowledge related to the topic that I can look into afterwards. Now time to study the rest of your videos 👍⭐⭐⭐⭐⭐

  • @philipbutler
    @philipbutler 3 года назад +14

    I learned about grid search for a course last semester, it was for a final project on sklearn that I waited to start 3 days before it was due, so I rushed to learn a lot of concepts that I promised myself I’d go back and understand more thoroughly (and probably will need to for upcoming courses/career). So this was an awesome refresher on this topic! Love your videos, keep up the great work!

    • @NormalizedNerd
      @NormalizedNerd  3 года назад +1

      Thanks mate! It's always useful to revisit an old topic.

  • @raselsheikh5800
    @raselsheikh5800 3 года назад +1

    This is my first comment at youtube. I came here because of your video quality and realize your explanation also fanstastic. I think you are using manim. For me it's a great chanel.

    • @NormalizedNerd
      @NormalizedNerd  3 года назад

      Welcome to my channel! I'm really glad you that liked my content :D :D
      Yes, I use manim.

  • @yusufpradanaajisurya9176
    @yusufpradanaajisurya9176 8 месяцев назад

    Thank you!! This is the best video on this subject!

  • @cvrbcheppali8214
    @cvrbcheppali8214 11 месяцев назад

    Very nice and one of the best video on Hyperparameter Tuning

  • @shwetabhat9981
    @shwetabhat9981 2 года назад +4

    Hope you are doing well sir . Kindly continue your video series as it greatly helps and is just amazing!! 🙂

  • @mikeboudhabhay6082
    @mikeboudhabhay6082 Год назад

    thanks for your work and dedication . your vid is very useful for my final project in DS bootcamp.

  • @shoaibsh2872
    @shoaibsh2872 3 года назад +1

    I knew about grid search, but in the end the technique you shared was new to me and it will be really helpful in the future when I'm going to use grid search, thank you for sharing. Great vid as always 😊

  • @ramblingsofadegenerate1174
    @ramblingsofadegenerate1174 6 месяцев назад

    Recently found your channel very grateful

  • @ZirothTech
    @ZirothTech 2 года назад

    Great video, thanks again!

  • @harshavardhanm9481
    @harshavardhanm9481 Год назад

    Nice, clean animations 👍

  • @karlopoljancic
    @karlopoljancic Год назад

    Thanks! Gonna try this out!

  • @10955356
    @10955356 9 месяцев назад

    amazing video my friend!

  • @lukehamilton8285
    @lukehamilton8285 Год назад

    great video helped me alot!

  • @saurabhjoshi8776
    @saurabhjoshi8776 Год назад

    keep up the good work..😀

  • @samikshakolhe5086
    @samikshakolhe5086 2 года назад

    Awesome Explaination! appreciate your work and subscribed;)

  • @KayYesYouTuber
    @KayYesYouTuber 2 года назад +4

    Thanks. Nice video. But why are you doing GS.fit (X_train, Y_train) when you already have cross validation with cv = 5. Shouldn't you just do GS.fit (X, Y) ?

    • @lukehamilton8285
      @lukehamilton8285 Год назад +2

      you should train on x_train and y_train because this allows you to further test the model once the optimal hyperparameters have been found with an unseen test set which the model has not seen stopping data-leakage

  • @collinspo
    @collinspo Год назад

    Great content. Thanks

  • @bassamdaou2908
    @bassamdaou2908 2 года назад +1

    Thank you. Please can you make a video explaining how we can make prediction from different regression models: regression tree, random forest, artificial neural network, SVM, Bagged CART, Generalized boosting, Extreme Gradient boosting

  • @PythonArms
    @PythonArms Год назад

    Great video. thank you

  • @MessiasBatista
    @MessiasBatista 2 года назад

    Hello, congratulations for video.
    I have a question. You have a example that discovers the best hyper-parameters using Swarm Intelligence?

  • @ganeshnaik6503
    @ganeshnaik6503 3 года назад

    This is awesome. Thanks!

  • @idrissjairi
    @idrissjairi Год назад

    thank you so much for the great video

  • @grumpy_techo
    @grumpy_techo Год назад

    I have just stumbled upon you channel. you videos are well communicated. Well done. Another good video could be - how do you settle on a model that is generalised to test data.

  • @gouthamansaravanan7692
    @gouthamansaravanan7692 2 года назад

    Best one! Thanks!!

  • @viniciuslazzeri3019
    @viniciuslazzeri3019 Год назад

    Amazing! How can I implement this on fastercnns?

  • @amirhosseinrahimi3964
    @amirhosseinrahimi3964 Год назад

    Thanks, one queation, after tuining the model and finding the best hyper parameter, is it necessary to run the model with found best parameter for moel training right and prediction? i mean after using GridSearchCV, model is already configured by best parameter? can you please elaborate?

  • @excursion5246
    @excursion5246 2 года назад

    thanks. Can you make a video about deep neural network regression predictions. Like multiple inputs and one output prediction by using this gridsearch. Thanks a lot.

  • @LeE-yr7lp
    @LeE-yr7lp 2 года назад

    Could you do a video about boosting models please? Thanks

  • @krepker
    @krepker 3 года назад

    Awesome video. tnx man!!

  • @tomliao6667
    @tomliao6667 2 года назад

    thanks for sharing especially for the last part that how to choose an efficient model with low computer resource wasting haha

  • @cyberpunk_edgerunners
    @cyberpunk_edgerunners 2 года назад

    thanks , my friend

  • @bzaruk
    @bzaruk 3 года назад

    Great vid! Thanks!

  • @tinanajafpour7214
    @tinanajafpour7214 2 года назад

    thank you for the video it was really helpful. I had a question, could you please help me? when I want to download data from kaggle, I receive 403 forbidden Error!

  • @nachomacho7027
    @nachomacho7027 2 года назад

    Thank you bro

  • @fosheimdet
    @fosheimdet 2 года назад

    From now on, I identify as a person from the future😊

  • @chongzhang871
    @chongzhang871 9 месяцев назад

    What about the the testing data? It seems u have not used them.

  • @antonellars22
    @antonellars22 2 года назад

    Thank you!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

  • @Junistz
    @Junistz 2 года назад

    Thanks for your video it is going to help me ! :D
    Invalid parameter "max_depth " contains whitespace.
    I got error kind of this ..

  • @Borschboy
    @Borschboy 3 года назад

    How does GridSearch work with pickeld data?

  • @jamalnuman
    @jamalnuman 10 месяцев назад

    great

  • @anurajms
    @anurajms Год назад

    ty

  • @deniskoala3131
    @deniskoala3131 3 года назад

    Thank you for this beautiful work.
    I have a question: what happens if we run the same code several times? Will the best_estimator always be the same?
    Thank you for your answer.

    • @tomliao6667
      @tomliao6667 2 года назад

      if you keep random_state the same number, I guess there will be the same best_estimator

  • @onestopzz6446
    @onestopzz6446 2 года назад +1

    Bro, even without hyper parameter tuning, I am getting more than 0.99 r2_score. But I am getting 0.96 r2_score with tuning. So how exactly this tuning is helpful?

    • @achin_sharma
      @achin_sharma 8 месяцев назад

      it means default values are best fit for your dataset

  • @kolboy2028
    @kolboy2028 3 года назад

    which software do you use for your animation?

    • @NormalizedNerd
      @NormalizedNerd  3 года назад +2

      I used manim for intro animation

    • @kolboy2028
      @kolboy2028 3 года назад

      @@NormalizedNerd and for the rest of the video?

  • @736939
    @736939 2 года назад

    Where are you? We miss you :(

  • @jessemutiga6055
    @jessemutiga6055 2 года назад +1

    there'll alway be a random indian out there who will help you get your assignment done on time.

    • @NormalizedNerd
      @NormalizedNerd  2 года назад

      lol...at least you are not outsourcing your assignments!

  • @parulkhattar28
    @parulkhattar28 2 года назад

    1:53 -> 2D arrays not lists 😀

  • @ikramed
    @ikramed 4 месяца назад

    Random state why = 2021

  • @rijwanapatel6942
    @rijwanapatel6942 2 года назад

    Hey buddy how old are your 😁

  • @im4485
    @im4485 Год назад

    Nice