scikit-learn

Also known as scikits.learn, sklearn, scikit

scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn is a NumFOCUS fiscally sponsored project.

Key facts

Software.name: scikit-learn
Software.logo: Scikit learn logo small.svg
Software.author: David Cournapeau
Software.developer: Google Summer of Code project
Software.programming language: Python, Cython, C and C++
Software.operating system: Linux, macOS, Windows
Software.genre: Library for machine learning
Software.license: New BSD License

via Wikipedia infobox

Wikidata facts

Official website: scikit-learn.org
Image: Scikit-learn machine learning decision tree.png

Article · Español

Scikit-learn (anteriormente scikits.learn) es una biblioteca para aprendizaje automático de software libre para el lenguaje de programación Python.Incluye varios algoritmos de clasificación, regresión y análisis de grupos entre los cuales están máquinas de vectores de soporte, bosques aleatorios, Gradient boosting, K-means y DBSCAN. Está diseñada para interoperar con las bibliotecas numéricas y científicas NumPy y SciPy.

Abstract from DBpedia / Wikipedia · CC BY-SA