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These are my solutions to Andrew Ng’s machine learning course. It has been quite a learning experience. Coding them in Python has helped me to learn how to use numpy and scipy more efficiently.

Along the way I have found solutions by other learners very helpful, in particular those by kaleko and deyachatterjee. Also thanks to dibgerge for translating the original Matlab/Octave questions to Python. Even though I largely wrote my own solutions, those were very helpful when I got stuck with some numpy issues.

Feel free to use these as you want, the questions are in assignments, and the data is in data.

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Python solutions to Andrew Ng's ML course.

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