LinearHousingPredictor

Overview

This repository contains the Python script for predicting housing prices using linear regression models. It demonstrates the application of Ordinary Least Squares (OLS) and Stochastic Gradient Descent (SGD) regression methods on the 'ParisHousing.csv' dataset.

Features

• Implementation of OLS and SGD regression models.
• Data preprocessing including splitting into training and test sets.
• Evaluation metrics for model performance (MSE, MAE, R-squared).
• Detailed comments and documentation for easy understanding.

Requirements

• Python 3
• NumPy
• Pandas
• scikit-learn

Installation

git clone https://github.com/Niblick1020/LinearHousingPredictor.git
cd LinearHousingPredictor