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Added Linear Support Vector Machine Classifier #185

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Fixes #5

Brief description of what is fixed or changed

Linear Support Vector Classification model has been added in the models.py file. The SVM loss objective has been added in the loss_func.py file. Relevant Example has been added in the Examples/svm_classification_example.py file.

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Alongside Devyani, make 2-3 more SVM variants and also, do make it configurable according to user's taste, i.e User should be able to switch between Regressor Config or Classifier Config, depending upon the type of dataset. After doing all these things, then PR would be merged accordingly. Till that time, don't link your PR to close the issue. This issue would easily take long time as per the requirements.

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Implement Support Vector Machine as a Classifier and Regressor
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