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

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  • เผยแพร่เมื่อ 28 ม.ค. 2025

ความคิดเห็น • 65

  • @philipbutler
    @philipbutler 3 ปีที่แล้ว +15

    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 ปีที่แล้ว +1

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

  • @krimsonsun10
    @krimsonsun10 ปีที่แล้ว +4

    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 👍⭐⭐⭐⭐⭐

  • @raselsheikh5800
    @raselsheikh5800 3 ปีที่แล้ว +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 ปีที่แล้ว

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

  • @shwetabhat9981
    @shwetabhat9981 2 ปีที่แล้ว +4

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

  • @cvrbcheppali8214
    @cvrbcheppali8214 ปีที่แล้ว

    Very nice and one of the best video on Hyperparameter Tuning

  • @yusufpradanaajisurya9176
    @yusufpradanaajisurya9176 10 หลายเดือนก่อน

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

  • @mikeboudhabhay6082
    @mikeboudhabhay6082 ปีที่แล้ว

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

  • @shoaibsh2872
    @shoaibsh2872 3 ปีที่แล้ว +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 😊

  • @ZirothTech
    @ZirothTech 2 ปีที่แล้ว

    Great video, thanks again!

  • @ramblingsofadegenerate1174
    @ramblingsofadegenerate1174 8 หลายเดือนก่อน

    Recently found your channel very grateful

  • @harshavardhanm9481
    @harshavardhanm9481 2 ปีที่แล้ว

    Nice, clean animations 👍

  • @10955356
    @10955356 ปีที่แล้ว

    amazing video my friend!

  • @grumpy_techo
    @grumpy_techo ปีที่แล้ว

    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.

  • @karlopoljancic
    @karlopoljancic ปีที่แล้ว

    Thanks! Gonna try this out!

  • @saurabhjoshi8776
    @saurabhjoshi8776 2 ปีที่แล้ว

    keep up the good work..😀

  • @samikshakolhe5086
    @samikshakolhe5086 2 ปีที่แล้ว

    Awesome Explaination! appreciate your work and subscribed;)

  • @lukehamilton8285
    @lukehamilton8285 ปีที่แล้ว

    great video helped me alot!

  • @tomliao6667
    @tomliao6667 2 ปีที่แล้ว

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

  • @collinspo
    @collinspo ปีที่แล้ว

    Great content. Thanks

  • @bassamdaou2908
    @bassamdaou2908 2 ปีที่แล้ว +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 ปีที่แล้ว

    Great video. thank you

  • @idrissjairi
    @idrissjairi ปีที่แล้ว

    thank you so much for the great video

  • @ganeshnaik6503
    @ganeshnaik6503 3 ปีที่แล้ว

    This is awesome. Thanks!

  • @krepker
    @krepker 3 ปีที่แล้ว

    Awesome video. tnx man!!

  • @KayYesYouTuber
    @KayYesYouTuber 3 ปีที่แล้ว +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 ปีที่แล้ว +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

  • @gouthamansaravanan7692
    @gouthamansaravanan7692 2 ปีที่แล้ว

    Best one! Thanks!!

  • @viniciuslazzeri3019
    @viniciuslazzeri3019 ปีที่แล้ว

    Amazing! How can I implement this on fastercnns?

  • @bzaruk
    @bzaruk 3 ปีที่แล้ว

    Great vid! Thanks!

  • @MessiasBatista
    @MessiasBatista 2 ปีที่แล้ว

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

  • @excursion5246
    @excursion5246 2 ปีที่แล้ว

    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.

  • @humblebrag7020
    @humblebrag7020 20 วันที่ผ่านมา

    Why do we need to split it to be X_train and y_train when internally in gridsearchCV we will conduct k-fold? please help me answering this question.

  • @amirhosseinrahimi3964
    @amirhosseinrahimi3964 2 ปีที่แล้ว

    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?

  • @LeE-yr7lp
    @LeE-yr7lp 3 ปีที่แล้ว

    Could you do a video about boosting models please? Thanks

  • @cyberpunk_edgerunners
    @cyberpunk_edgerunners 2 ปีที่แล้ว

    thanks , my friend

  • @nachomacho7027
    @nachomacho7027 2 ปีที่แล้ว

    Thank you bro

  • @anurajms
    @anurajms ปีที่แล้ว

    ty

  • @antonellars22
    @antonellars22 2 ปีที่แล้ว

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

  • @Junistz
    @Junistz 2 ปีที่แล้ว

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

  • @tinanajafpour7214
    @tinanajafpour7214 2 ปีที่แล้ว

    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!

  • @deniskoala3131
    @deniskoala3131 3 ปีที่แล้ว

    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 ปีที่แล้ว

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

  • @jamalnuman
    @jamalnuman ปีที่แล้ว

    great

  • @onestopzz6446
    @onestopzz6446 2 ปีที่แล้ว +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 10 หลายเดือนก่อน

      it means default values are best fit for your dataset

  • @chongzhang871
    @chongzhang871 11 หลายเดือนก่อน

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

  • @Borschboy
    @Borschboy 3 ปีที่แล้ว

    How does GridSearch work with pickeld data?

  • @fosheimdet
    @fosheimdet 2 ปีที่แล้ว

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

  • @kolboy2028
    @kolboy2028 3 ปีที่แล้ว

    which software do you use for your animation?

    • @NormalizedNerd
      @NormalizedNerd  3 ปีที่แล้ว +2

      I used manim for intro animation

    • @kolboy2028
      @kolboy2028 3 ปีที่แล้ว

      @@NormalizedNerd and for the rest of the video?

  • @jessemutiga6055
    @jessemutiga6055 2 ปีที่แล้ว +1

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

    • @NormalizedNerd
      @NormalizedNerd  2 ปีที่แล้ว

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

  • @736939
    @736939 2 ปีที่แล้ว

    Where are you? We miss you :(

  • @parulkhattar28
    @parulkhattar28 2 ปีที่แล้ว

    1:53 -> 2D arrays not lists 😀

  • @rijwanapatel6942
    @rijwanapatel6942 3 ปีที่แล้ว

    Hey buddy how old are your 😁

  • @ikramed
    @ikramed 6 หลายเดือนก่อน

    Random state why = 2021

  • @im4485
    @im4485 ปีที่แล้ว

    Nice