ML Methods to Predict House Prices in Los Angeles
Various machine learning methods to predict house prices in LA.
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
View the project poster here.