Hi Imaculate.
We have found that in recent years, we were quite limited in terms of
mentoring resources.
Many of the core-devs are very busy, and we already have many
contributions waiting for reviews.
If you are interested in working on scikit-learn as part of GSoC, I
suggest you start contributing to the project now,
and see if you find a project and a mentor that are suitable.
I'm a bit confused how you could talk about neural networks and deep
learning without talking about regression or classification...
Best,
Andy
On 01/10/2016 01:14 AM, Imaculate Mosha wrote:
Hi all,
I would like to contribute to scikit-learn even better for Google
Summer of Code.
I'm a third year undergrad student. I did an introductory course to
Machine Learning but after learning Scikit-Learn I realised we only
scratched the surface, we did neural networks, reinforcement learning
and deep learning, we didn't dig into regression or classification.
I have looked at the issues but some seem beyond me due to my limited
knowledge.
What is the best way to catch up to effectively contribute?
Alternatively, is there something specific that can be done in GSOC so
that I can start digging up on it.
Thank you and looking forward to hearing from you!
Kind regards,
Imaculate Mosha.
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