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This part discusses methods of extending the prevailing binary classifiers to unravel multi-course classification problems. various algorithms have already been made based on neural networks, choice trees, k-closest neighbors, naive Bayes, help vector devices and Severe Understanding devices to deal with multi-course classification challenges. a lo
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