Regression Analysis for Estimating Prices

Overview

An analysis and regression modeling of over 21,000 real estate transactions in King County, Washington is completed to improve home valuation and real estate advisory.

The findings include top features that are important to the bestimate model, which are square footage of living space, distance to Seattle, total distance to both Seattle and Redmond, distance to Redmond, and square footage of living space of the nearest 15 neighbors.

The bestimate model that is a tuned Random Forest regressor performs best in predicting house prices based on over 20 features. It explains 88% of the variance in the data and its predictions are USD 107,000 off from the actual prices on average.

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Github: Repository