imbalanced-learn (conda): imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn and is part of scikit-learn-contrib projects.
Keywords: data-analysis|data-science|machine-learning|python|statistics