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# Introduction | ||
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This is a collection of machine learnining algorithms and assignments, which are a part of Andrew Ng's Machine Learning course on Coursera. I plan to implement all the algorithms taught and complete these assignments in python instead of Matlab/Octave. I might even add some insights of my own and things I learned along the way. | ||
This is a collection of machine learnining algorithms and assignments, which are a part of Andrew Ng's Machine Learning course on Coursera as well as Stanford's CS231N course. I plan to implement all the algorithms taught and complete these assignments in python instead of Matlab/Octave. | ||
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I'm making use of Jupyter Notebook and the python libraries matplotlib and numpy. | ||
I'm making use of Jupyter Notebook and the python libraries matplotlib, numpy and pandas. | ||
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