huzaifsayed/Linear-Regression-Model-for-House-Price-Prediction

Linear Regression Model for Real State House Price Prediction

43
/ 100
Emerging

This tool helps real estate agents estimate house prices in various U.S. regions. You provide a dataset with details like average income, house age, number of rooms, and population for a city, and it predicts the potential selling price for a house. It's designed for real estate professionals who need quick and data-driven property valuations.

144 stars. No commits in the last 6 months.

Use this if you are a real estate agent needing to quickly estimate a house's selling price based on key local area characteristics.

Not ideal if you need a highly complex, hyper-localized model incorporating unique architectural features or specific market anomalies beyond general area statistics.

real-estate-valuation property-appraisal market-analysis price-prediction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

How are scores calculated?

Stars

144

Forks

149

Language

Jupyter Notebook

License

Last pushed

Jun 09, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/huzaifsayed/Linear-Regression-Model-for-House-Price-Prediction"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.