House Price Predictor

Estimate a home's sale price from its size, bedroom count, and bathroom count.
House Price Predictor is a compact browser-based estimation tool built around a multiple linear regression model trained on the Ames Housing dataset. Users provide square footage, bedrooms, and bathrooms, then receive an estimated sale price formatted in US dollars. The experience is contained on one responsive page and requires no account.
Highlights
Instant Estimates
Returns a dollar estimate
Simple Inputs
Uses three home details
Ames Model
Trained on housing data
How to Use
Enter the property size
Type the home's total square footage into the first numeric field. The current value remains visible so it can be reviewed before submitting the estimate.
Add room counts
Enter the number of bedrooms and bathrooms in their labeled numeric fields. These values are combined with square footage as the model inputs.
Generate the estimate
Select Predict Price to submit the three values. The page displays the resulting estimated sale price in a highlighted panel below the form, and the inputs can be changed to run another estimate.
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