This repository contains code for implementing a linear regression model to predict the prices of houses based on their square footage and the number of bedrooms and bathrooms. I developed it as a task of a machine learning internship at Prodigy.
Dataset:
The dataset used for this project contains information about houses including their square footage, number of bedrooms, number of bathrooms, and corresponding prices. The dataset can be found in the data directory.
source: https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data