Scikit-learn balanced subsampling

Question

I\'m trying to create N balanced random subsamples of my large unbalanced dataset. Is there a way to do this simply with scikit-learn / pandas or do I have to implement it m

Answer 1

There now exists a full-blown python package to address imbalanced data. It is available as a sklearn-contrib package at https://github.com/scikit-learn-contrib/imbalanced-learn