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ML
Ramp is a python module for rapid prototyping of machine learning solutions. It is essentially a pandas wrapper around various python machine learning and statistics libraries (scikit-learn, rpy2, etc.), providing a simple, declarative syntax for exploring features, algorithms and transformations quickly and efficiently.
Classification and regression machine learning using a collection of base learners.