Review: Scikit-learn shines for simpler machine learning

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, regression, clustering, dimensionality reduction, model selection, and preprocessing. It’s a fairly conservative project that’s pretty careful about avoiding scope creep and jumping on unproven algorithms, for reasons of maintainability and limited developer resources. On the other hand, it has quite a nice selection of solid algorithms, and it uses Cython (the Python-to-C compiler) for functions that need to be fast, such as inner loops.

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