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Support-Vector-Machine-(SVM)-Implementation-from-scratch

This python based implementation of SVM solves the Dual Problem using the CVXOPT package of python. The data 1 provided is linearly separable. SVM with the "Modified Optimization Problem" was implemented for data 2 as it is non-linearly separable. The model was tuned for the hyperparameter C in the modified optimization problem.

More information about the implementation and the results can be found in the README.pdf file.