Multiclass Classification With Logistic regression in Python | Sklearn

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  • Опубліковано 18 гру 2024

КОМЕНТАРІ • 9

  • @billyblackburn864
    @billyblackburn864 Рік тому +1

    I like your teaching style...very nice to follow along

  • @amitblizer4567
    @amitblizer4567 2 роки тому +1

    Thank you for making these well explained videos with jupyter examples.
    This is very helpfull!
    glad bless you

  • @okj4521
    @okj4521 8 місяців тому

    Superb!

  • @Essentialenglishwords-ii7ek

    genrally, for multiclass also we can use logistic regression but why we are not calculating the score error each time to see the accuracy

  • @MrMadmaggot
    @MrMadmaggot 2 роки тому

    So Logistic Regression from scikit learn also works for multiclass classification? Don't get it. How so?

  • @jeremyzhang9305
    @jeremyzhang9305 2 роки тому

  • @adityakakade9172
    @adityakakade9172 Рік тому

    plz tell me plt.imshow(np.reshape(x_train_list[0],(28,28,1))) Why 28,28,1 works but 25,25,1 don't work?

    • @JKAP123
      @JKAP123 3 місяці тому

      "cannot reshape array of size 784 into shape (25,25,1)". You need to have divisors of 784. For example (4,196,1). However the set description says that the images are 28x28 so you won't get a meaningful image