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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