These are completed homework exercises from Andrew Ng's Coursera course on Machine Learning, except instead of using Matlab/Octave as required by the course, I've done the exercises in Python. If the exercise called for writing one's own routine or function in Octave, I generally tried to do the same think with pandas and numpy and then do it a third time using scikit-learn. Sometimes this meant rewriting some of the provided Octave routines.
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License: Apache License 2.0