Scikit-learn: Machine Learning in Python

Scikit-learn: машинное обучение на Python
PedregosaFabian, VaroquauxGaël, GramfortAlexandre, MichelVincent, ThirionBertrand, GriselOlivier, BlondelMathieu, PrettenhoferPeter, WeissRon, DubourgVincent, VanderplasJake, PassosAlexandre, CournapeauDavid, BrucherMatthieu, PerrotMatthieu, DuchesnayÉdouard
2011-11-01

machine learning in Pythonmedium-scale datasetsscikit-learnsupervised learningunsupervised learning
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing mach...
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Scikit-learn is a Python module that integrates a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
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Scikit-learn targets medium-scale datasets and is designed to interoperate with the Python scientific ecosystem.
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The library provides both classical algorithms and tools suitable for production and research workflows in Python.
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The package emphasizes ease of use, performance, documentation, and API consistency to facilitate rapid experimentation and application.

Scikit-learn Python machine learning module/package

Integration and provision of a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems

Publication Details
Publication Date
2011-11-01
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Authors
PedregosaFabian
VaroquauxGaël
GramfortAlexandre
MichelVincent
ThirionBertrand
GriselOlivier
BlondelMathieu
PrettenhoferPeter
WeissRon
DubourgVincent
VanderplasJake
PassosAlexandre
CournapeauDavid
BrucherMatthieu
PerrotMatthieu
DuchesnayÉdouard
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