Hi,
I am Manoj Kumar, a junior undergrad from Birla Institute of Technology and
Science.
I've just completed my Google Summer of Code under SymPy. So I have a good
programming background in Python.
Regarding my Machine Learning background, I've taken an informal Coursera
course, under Andrew Ng. I thought that the best way, to improve my
knowledge and skills would be to contribute (or at-least try) to an
existing Machine Learning library. And Scikit-learn was my first choice.
Can someone point me a list to of existing bugs / docs needed to be
written? And is there anything I need to learn / prerequisite before trying
to fix any of them? Because I am relatively new to Machine Learning, though
I can grasp things quickly.
Thanks
--
Regards,
Manoj Kumar,
Mech Undergrad
http://manojbits.wordpress.com
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