Linear Regression
Showing 14 of 14 projects
Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.
A JavaScript library for linear least-squares curve fitting and regression analysis.
MatLab/Octave implementations of popular machine learning algorithms with detailed mathematical explanations and code examples.
A cross-platform C++ machine learning library for real-time gesture recognition with support for classification, regression, and clustering.
A Ruby library for building and serving predictive models with support for PMML and integration with Python and R models.
A collection of TensorFlow practice exercises covering fundamental machine learning concepts from linear regression to CNNs.
A Java port of LIBLINEAR for large-scale regularized linear classification, regression, and outlier detection.
A high-performance, type-safe DataFrame library for the JVM enabling large-scale data analysis with parallel processing capabilities.
A Go library implementing essential machine learning algorithms including linear regression, logistic regression, and neural networks.
A simple machine learning framework written in Swift, currently focusing on regression algorithms.
A PHP library for building predictions using linear regression with simple data fitting.
A Node.js library for machine learning with linear regression and k-means clustering algorithms.
A Julia package providing algorithms for regression analysis via regularized empirical risk minimization.
A pure JavaScript library for linear regression analysis, enabling trendline creation and future value prediction.
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