Linear Regression

Linear Regression is one of the simplest yet most powerful techniques in machine learning for modeling the relationship between a dependent variable (output) and one or more independent variables (inputs). The fundamental principle behind linear regression is to fit a linear equation to observed data, allowing predictions of continuous outcomes based on input features.

Linear Regression with Rubix

Simple Linear Regression

Multiple Linear Regression

Regularized Linear Regression (Lasso)

Linear Regression with PHP-ML

Simple Linear Regression

Multiple Linear Regression