SVM from Scratch - Machine Learning Python (Support Vector Machine)

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A from scratch implementation of SVM using the CVXOPT package in Python to solve the quadratic programming. Specifically implementation of soft margin SVM.

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Keep going... I'm practicing coding from your videos only ❤️

vijaypatneedi

hi, in case i have as target y = 1 or y = 0 and not y = 1 and y = -1 how does it change the matrices implementation for cvxopt?

alessio

Great work. Please keep it on. I really enjoyed it. Could you pls make a video for the Multiclass classification case from the scratch using optimization problem? No video yet on this case I think. Or anyone can share it pls? Thank you so much, Sir!

tigrayrimey

why error like this? (m, n = X.shape
ValueError: not enough values to unpack), answer please i need a help

falikiali

Great work man.. thank you for these content.. can you please give some suggestion for implementing svm for multiclass from scratch ?

sagarprasad

Facing an error as below :(
self.w = np.dot(X[sv].T, alphas[sv] * self.y[sv, np.newaxis])

IndexError: boolean index did not match indexed array along dimension 0; dimension is 2000 but corresponding boolean dimension is 8000

plz help to fix this :)

gameplayer

Radial basic function this metode right?

imamramadhani

I have a dataset. I compared your code with sklearn svm. Why the result was different?. The result here was alphas, number of correct classification

huyvunguyenminh

QP VS Sub gradient LOL which one more potent

ccuuttww

SVM code is not updated in the github repo

vijaypatneedi

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