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AI Sidewalk #4: Binary SVM from Scratch! – Shantanu Phadke

Beginning of a new journey. Credit to www.pexels.com/@tony-367405

This post is meant to be a stand-alone post, but just in case you want a deeper dive into the theory behind SVMs, feel free to check out the previous two posts in this mini-series:

Binary SVMs (Part 1): https://medium.com/@ssp247/ai-sidewalk-2-delving-into-binary-svms-part-1-d304907dd520

Binary SVMs (Part 2): https://medium.com/@ssp247/ai-sidewalk-3-delving-into-binary-svms-part-2-eea83a4d4546

We will make our own Binary SVM using Python and Numpy to optimize the hinge loss function, and then train and test our model on the Wisconsin Breast Cancer Dataset. Let’s see what accuracy we can achieve, and do some further exploration of the results!


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