GSOC isn't the best way to get started. We recommend you get to know the
code structure, API and development process by starting with issues
labelled https://github.com/scikit-learn/scikit-learn/labels/Easy. In
general, look through the Issue Tracker and find something of interest, or
which has stagnated. Please read through
http://scikit-learn.org/dev/developers/index.html.
And we look forward to your contributions. Thanks!
On 21 March 2015 at 13:34, Rohit Shinde <rohit.shinde12...@gmail.com> wrote:
> Hello everyone,
>
> It been 2 days now and I still have not got a reply to my earlier mail. I
> would really like to contribute to this library and I want to know how to.
>
> Thank you,
> Rohit Shinde
>
> On Thu, Mar 19, 2015 at 1:58 PM, Rohit Shinde <rohit.shinde12...@gmail.com
> > wrote:
>
>> Hello everyone,
>>
>> I am a final year student of Computer Science from India. I study at the
>> "Vishwakarma Institute of Technology" in Pune. I am interested in various
>> areas under Machine Learning and Aritificial Intelligence. I have a
>> theoretical background in both these subjects and a limited experience of
>> some projects in these fields. I also tried to build a Chess program using
>> AI techniques. It is in progress right now and I dedicate time to it as and
>> when possible. I programmed a small application using backpropagation to
>> classify one of the data sets on the UCI dataset repository. It wasn't very
>> succesful but it gave me some exposure to neural networks. I have also been
>> exposed to Data Mining, so I do know of other algorithms like KNN, SVM and
>> K-Medoids and others.
>>
>> I have programmed using Python, Java and C++. I am very proficient in all
>> these three languages. I have done all my mini as well as major projects in
>> these languages and so I have a lot of programming experience in these
>> languages.
>>
>> I came across scikit-learn when looking for some good Machine Learning
>> libraries written in Python. I was also told by one of my professors that
>> this library is a highly regarded Machine Learning library. I was told that
>> many of the algorithms in this library work "off the shelf". I would really
>> like to contribute to this library.
>>
>> How can I contribute to this library?
>>
>> Thank you,
>> Rohit Shinde
>>
>
>
>
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