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Jun 2, 2026 · scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google …

sklearn # Configure global settings and get information about the working environment.

The purpose of this guide is to illustrate some of the main features of scikit-learn. It assumes basic working knowledge of machine learning practices (model fitting, predicting, cross-validation, etc.).

Jan 1, 2010 · Linear and Quadratic Discriminant Analysis. 1.2.1. Dimensionality reduction using Linear Discriminant Analysis.

Feb 25, 2026 · Scikit-learn (sklearn) is a widely used open-source Python library for machine learning. Built on top of NumPy, SciPy and Matplotlib, it provides efficient and easy-to-use tools for predictive …

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started in 2007 by David Cournapeau as a Google Summer of …

scikit-learn is largely written in Python, and uses NumPy extensively for high-performance linear algebra and array operations. Furthermore, some core algorithms are written in Cython to improve performance.

Apr 28, 2026 · Scikit-learn (also written as sklearn) is a popular open-source Python library for machine learning. Built on top of NumPy, SciPy and Matplotlib, it provides efficient tools for data analysis and …

scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitHub.