Search Results

Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek le

"Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek l

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features

The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learni

The Python ecosystem with scikit-learn and pandas is required for operational machine learning. Python is the rising platform for professional machine learning