Large Scale Benchmark for House Price Prediction
Amira Yousif, Sai Surya Vaddi
In this project, we conduct a benchmark for house price prediction. We collect a large-scale dataset consisting of estate attributes and house pictures. The selling prices are collected as groundtruth data. Then, we evaluate state-of-the-art machine learning methods on this collected dataset. The insights gained from this project will benefit the study of the house market.
Graduate Research 202253 CPS 596 P1
Van Nguyen, Ju Shen
Primary Advisor's Department
Stander Symposium, College of Arts and Sciences
"Large Scale Benchmark for House Price Prediction" (2023). Stander Symposium Projects. 2953.
Presentation: 1:00-1:20 p.m., Jessie Hathcock Hall 180