Python Machine Learning Tutorial #3 - K-Nearest Neighbors Classification

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  • เผยแพร่เมื่อ 7 พ.ย. 2024

ความคิดเห็น • 10

  • @rebelScience
    @rebelScience 4 ปีที่แล้ว +6

    Awesome stuff. I will go through your catalogue when I have time. Can I link your videos in my future videos (reference them) when I need some stuff you teach here? I want to help your channel and also save my time by sending people to your channel instead of making the same video as you already have.

    • @NeuralNine
      @NeuralNine  4 ปีที่แล้ว +2

      Hey! Glad you like it! Yes of course, that would be awesome! Feel free to do that! :)

  • @malikgaruba4079
    @malikgaruba4079 6 หลายเดือนก่อน

    Thanks for detailed and easy to understand explanation

  • @vijaysamant2864
    @vijaysamant2864 ปีที่แล้ว

    In clf.predict can we just predict only one thing's target at a time Or is it the case for KNN.
    Plus when I did predict for a single value it showed [0] i.e. an array you said at last it would show malignant Or benign did I do something wrong?

  • @mgreek31
    @mgreek31 2 ปีที่แล้ว

    Great video and Blog post... Thanks

  • @antoniorivolta
    @antoniorivolta 4 ปีที่แล้ว +3

    How can I create my own data (like cancer data in the video)?

    • @NeuralNine
      @NeuralNine  4 ปีที่แล้ว +3

      It's already included in sklearn.datasets :)

  • @manishcharan
    @manishcharan ปีที่แล้ว

    why did we give n_neighbors = 3 there?

  • @JerryJess-f2h
    @JerryJess-f2h ปีที่แล้ว

    First of all, thank you for your videos and sharing your knowledge on python, etc. !
    load_breast_cancer is a
    Would you recommend the use of sklearn.bunch structures to build dataset for science and apply machine learning?
    When is it appropriate to use dataframe vs such data structures ?
    A video about choice of data format/structure would be great...
    A video about creating a sklearn.bunch (although I can dig on the web...) ?