Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Abstract: An exponentially convergent and finite algorithm is presented for the determination of the solution α of the linear inequalities Aα>0 for a given matrix A, or for determining the ...

Abstract: We present a linear-time subspace clustering approach that combines sparse representations and bipartite graph modeling. The signals are modeled as drawn from a union of low-dimensional ...

This project implements linear regression from scratch, using only Python and math — no machine learning libraries like scikit-learn are used. It's a great educational example of how linear regression ...

About This repository hosts an educational Streamlit web application designed to help learners visualize and understand simple linear regression. Users can adjust dataset parameters, view regression ...

Use this page to revise the following concepts within correlation and least squares regression line : Note that a correlation shows the strength of the association between two variables, but it does ...

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...