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This is the implementation of Support Vector Machine (Classification) with kernel and without kernel both. it is purely written in C++ and has been optimized a lot. currently i have trained it on Social_Ads Dataset on which sklearn's python implementation got only 82% Accuracy but our implementation got 95.3% Accuracy. You can use grid search to find best params manually.

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This is the implementation of Support Vector Machine (Classification) with kernel and without kernel both. it is purely written in C++ and has been optimized a lot.

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