coursera-machine-learning
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benoitvallon
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coursera-machine-learning issues
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there should be a 'nice work!' after Feature Normalization.
https://github.com/benoitvallon/coursera-machine-learning/blob/74ec09a5072eb5f3fec942fee45076e4f05b35af/machine-learning-ex3/ex3/predictOneVsAll.m#L34 Hey just wondering since this is logistic regression as opposed to liner, shouldn't the hypothesis be sigmoid:- [~,p]=max(sigmoid(X*all_theta'),[],2);
