Linear Regression Analysis Repository

Welcome to the Linear Regression Analysis repository! This project is a dedicated space for exploring and implementing Linear Regression models.

Introduction

Linear Regression is a fundamental technique in statistics and machine learning, widely used for predicting a continuous target variable based on one or more predictor variables. This repository consolidates my work on linear regression analysis, providing clear implementations and explanatory documentation.

Models Included

The repository includes the following linear regression models:

• Simple Linear Regression: A basic model with a single predictor variable.
• Multiple Linear Regression: Extending simple linear regression to multiple predictor variables.

Each model is implemented with clarity and accompanied by relevant documentation.

Any improvements or corrections to the process are duly welcomed and noted.