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Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists, and today is a popular package manager for Python and R.
The Conda package manager's historical differentiation analyzed and resolved these installation conflicts. [ 39 ] Anaconda is a distribution of the Python and R programming languages for scientific computing ( data science , machine learning applications, large-scale data processing , predictive analytics , etc.), that aims to simplify package ...
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 ...
The scikit-learn project started as scikits.learn, a Google Summer of Code project by David Cournapeau. After having worked for Silveregg, a SaaS Japanese company delivering recommendation systems for Japanese online retailers, [3] he worked for 6 years at Enthought, a scientific consulting company.
Installation (or setup) of a computer program (including device drivers and plugins), is the act of making the program ready for execution. Installation refers to the particular configuration of software or hardware with a view to making it usable with the computer. A soft or digital copy of the piece of software (program) is needed to install it.
Windows 8/7/Vista/XP/2000 Note: Downloading and installing of Java will only work in Desktop mode on Windows 8. If you are using the Start screen, you will have to switch it to Desktop screen to run Java. Windows Server 2008/2003; Intel and 100% compatible processors are supported; Pentium 166 MHz or faster processor with at least 64 MB of ...
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. [2] It includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more. [3]