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Support-Vector-Machines

Using SVMs for classification

Here I will be using a synthethic datasets(Linear and Non linear) for classification using SVM. I will be using various hyper-parameters to tune the model such as C, gamma and kernel, that will help to select best support vectors. Further, I will be using GridSearchCV and BayesSearchCV to select best parameters for the SVC model.

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Using SVMs for classification

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