harshjuly12/House-Price-Prediction-Using-Linear-Regression
This repository contains code for predicting house prices using the Linear Regression model. It includes data preprocessing, model training, evaluation, and insights into factors influencing house prices.
This project helps real estate professionals, appraisers, or property investors estimate house prices. By inputting details like bedrooms, square footage, and location from a housing dataset, it outputs predicted house prices. It's designed for anyone needing a quick, data-driven property valuation.
No commits in the last 6 months.
Use this if you need to quickly estimate property values based on key house features and understand what factors influence those prices.
Not ideal if you require highly complex, non-linear predictive models or real-time, high-volume valuation services for a production environment.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 07, 2024
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