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scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] 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 ...
October 2022) (Learn how and when to remove this message) David Cournapeau is a data scientist . He is the original author of the scikit-learn package, an open source machine learning library in the Python programming language.
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [3]) is a free and open-source Python library used for scientific computing and technical computing. [4]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
The scikit-multiflow library is implemented under the open research principles and is currently distributed under the BSD 3-clause license. scikit-multiflow is mainly written in Python, and some core elements are written in Cython for performance. scikit-multiflow integrates with other Python libraries such as Matplotlib for plotting, scikit-learn for incremental learning methods [4 ...
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
The Library of Congress Classification (LCC) is a system of library classification developed by the Library of Congress in the United States, which can be used for shelving books in a library. LCC is mainly used by large research and academic libraries , while most public libraries and small academic libraries use the Dewey Decimal ...
Class P: Language and Literature is a classification used by the Library of Congress Classification system. This page outlines the subclasses of Class P. It contains 19 sub-classifications, 12 of which are dedicated to language families and geographic groups of languages, and 10 sub-classifications of literature (4 subclasses contain both languages and literatures).
The LC Linked Data Service is an initiative of the Library of Congress that publishes authority data as linked data. [1] It is commonly referred to by its URI: id.loc.gov. [2] The first offering of the LC Linked Data Service was the Library of Congress Subject Headings (LCSH) dataset, which was released in April 2009. [3]