ML Methods to Predict House Prices in Los Angeles

We developed an accurate house price prediction model in the Los Angeles area with the integration of multiple community/environmental data and local economic indicators. We used various machine learning methods (e.g., support vector, random forest, etc) to make the prediction, and results were visualized on a map.

Related course: CSE 6242: Data and Visual Analytics, Spring 2019

Download project poster here.

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