Support Vector Machines for Regression problems
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I am studying Machine learning in Coursera (by Andrew Ng) and I finished learning about Support Vector Machines (SVM). I read that SVM can also be used for regression problems (also called Support vector Regression or SVR) and I'm interested in learning it. I tried reading articles about but it doesn't work for me. I posted this question on our discussion forum but one of the mentors suggested that I should post this question here instead. Can someone provide a code for SVR that has live scripts similar with how programming assignments are done in Coursera? This approach really works for me. Thank you very much!
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