Scikit-learn
Gaël Varoquaux(Institut national de recherche en sciences et technologies du numérique), Lars Buitinck(University of Amsterdam), Gilles Louppe(University of Liège), Olivier Grisel(Institut national de recherche en sciences et technologies du numérique), Fabian Pedregosa(Institut national de recherche en sciences et technologies du numérique), Andreas Mueller
Cited by 684
Abstract
Machine learning is a pervasive development at the intersection of statistics and computer science. While it can benefit many data-related applications, the technical nature of the research literature and the corresponding algorithms slows down its adoption. Scikit-learn is an open-source software project that aims at making machine learning accessible to all, whether it be in academia or in industry. It benefits from the general-purpose Python language, which is both broadly adopted in the scientific world, and supported by a thriving ecosystem of contributors. Here we give a quick introduction to scikit-learn as well as to machine-learning basics.
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