Linear regression is a statistical method that models the relationship between a dependent variable (also called the target or the outcome) and one or more independent variables (also called the ...

Abstract: In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly model the ...

This repository contains a complete implementation of Linear Regression built from scratch, along with essential preprocessing and evaluation tools. The project demonstrates how machine learning ...

Abstract: Comparison of the innovative Linear Regression and Logistic Regression Algorithms for Ground Water Level Detection with Improved Accuracy is the goal of this study, which was designed to ...

This project demonstrates the implementation of the linear regression algorithm entirely from scratch using Python. The goal is to provide a clear, step-by-step guide to understanding and coding ...

Linear least-squares regression is fundamental in the analysis of data, such as that generated from biology, econometrics, engineering, physics, and many other technical disciplines. The present ...

For example, sorting algorithms turn unordered data into data ordered by some criteria, often the numeric or alphabetical order of one or more fields in the data. Linear regression algorithms fit ...