heychhavi/house-price-prediction

House-Price-Prediction

The model is based on Zillow and its iBuying Venture. This challange was launched on Kaggle.

Description

Zillow’s Zestimate home valuation has shaken up the U.S. real estate industry since first released 11 years ago.

A home is often the largest and most expensive purchase a person makes in his or her lifetime. Ensuring homeowners have a trusted way to monitor this asset is incredibly important. The Zestimate was created to give consumers as much information as possible about homes and the housing market, marking the first time consumers had access to this type of home value information at no cost.

“Zestimates” are estimated home values based on 7.5 million statistical and machine learning models that analyze hundreds of data points on each property. And, by continually improving the median margin of error (from 14% at the onset to 5% today), Zillow has since become established as one of the largest, most trusted marketplaces for real estate information in the U.S. and a leading example of impactful machine learning.

Evaluation

Median Error Rate Error Rate=∣∣∣(Predicted Price−Actual Price)%Actual Price∣∣∣