Dear scikit-learn developers, My name is Parker, and I'm a data scientist.
Scikit-learn is a great ML library that I work frequently for work and personal projects. I have always wanted to contribute something to the scikit-learn community, and I am wondering if you could give some opinions on following two ideas for contribution. My first idea is to integrate another python library 'imbalanced-learn' into scikit-learn so that people could also use scikit-learn to deal with imbalance issues. Another idea is to combine those scikit-learn built-in feature selection functions into one automated feature selection function that might benefit those users who are not familiar with feature selection process. Looking forward to your suggestions! And thank you very much for your time! Best, Parker
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