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Support vector machines.
Today we'll be talking about support vector machines (SVM); this classifierworks well in complicated feature domains, albeit requiring clear separationbetween classes. SVMs don't work well with noisy data, and the algorithm scalesroughly cubic $O(n^3)$ to input depending on your implementation (sklearn's SVM fit time complexity
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