Sai Surya Vaddi, Amira A. Yousif
Download Project (1.1 MB)
In this research, we investigate the usage of machine learning in predicting the house price based on related tabular data and images.To this end, we collect 2000 sample points from across different cites in the United States. For each house, we label 14 tabular attributes and 5 images (exterior, interior-living room, kitchen, bedroom, bathroom). Following the feature extraction, we evaluate different machine learning methods on the newly collected data.
Van Tam Nguyen
Primary Advisor's Department
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
Decent Work and Economic Growth
"House Price Prediction using Machine Learning" (2022). Stander Symposium Projects. 2462.