Hi Ignacio,
A good starting place is often working on the documentation. For example,
https://github.com/scikit-learn/scikit-learn/pull/3084 is an attempt at
filling in a gap in the documentation, but it doesn't look like Raul is
going to complete the work any time soon. If you want to pull his branch,
finish responding to the comments (i.e. fixing up the changes), and create
a new PR out of it, that would be helpful.
A similarly stalled documentation change is
https://github.com/scikit-learn/scikit-learn/pull/2529
Also in the space of cross-validation (which I figure is a fairly trivial
ML idea to understand), but working on code:
https://github.com/scikit-learn/scikit-learn/issues/2904 is mostly an issue
of rewriting the cross_validation module to have a different API. As
suggested by the discussion there, its design may not be trivial, but it
would be very valuable to see a first attempt at the rewrite.
https://github.com/scikit-learn/scikit-learn/issues/1848 is similarly
mostly about moving things around, and it will help making a clean change
together with #2904. You should make sure you have read the contributing
guidelines and are familiar with the deprecation procedures for either of
these restructure tasks.
Is that along the lines of the sort of things you would like to start on?
Joel
On 25 June 2014 14:56, Ignacio Rossi <rossi.igna...@gmail.com> wrote:
> Hello,
>
> Today I dropped by the freenode channel, but no one was around at the
> time, so I'm relaying my message here, thanks for reading :)
>
> I’m a math undergraduate who works as a python developer. I’m currently
> between jobs, so I have one month worth of spare time and i was thinking
> about learning ML and contributing to the project during that time
> I’ve peeked the issue tracker (the easy tag), but I might need some
> guidance on where to start. I don't know much about ML yet - taking the
> course on coursera, but wishing to contribute some code in the meantime
>
> Any suggestions regarding learning/contributing will be appreciated
>
> Thanks
>
> Ignacio
>
>
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Quickly connect people, data, and systems into organized workflows
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http://p.sf.net/sfu/Bonitasoft
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