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How sklearn SVM find the initial hyperplane before Optimisation?

In the support vector machine (SVM) algorithm, the optimization goal is to find the hyperplane that maximally separates the positive and negative examples in the training data. This is known as the ...
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How to implement SVM from scratch?

If you consider the Lagrarian expression acting as your loss function for svm. Then use optimization ml techniques to find the best parameter. Here your alpha is the parameter. So, find the best value ...

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