Showing 9 of 9 projects
A comprehensive, dependency-free statistics library for Go with extensive mathematical functions and thorough testing.
A comprehensive collection of machine learning algorithms and mathematical utilities implemented in JavaScript for browser and Node.js.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
An open-source Java framework for rapid development of machine learning and statistical applications with large dataset support.
A JavaScript library for linear least-squares curve fitting and regression analysis.
Learn statistics through Python with real-world examples like analyzing marijuana price data across US states.
A Julia package for fitting linear and generalized linear models with comprehensive statistical functionality.
A pure Julia implementation of LOESS (locally weighted regression) for smoothing scatterplots and fitting non-parametric models.
A Julia package providing algorithms for regression analysis via regularized empirical risk minimization.
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