Large Scale Benchmark for House Price Prediction

Large Scale Benchmark for House Price Prediction

    Presenter(s)

    Amira Yousif, Sai Surya Vaddi

    Comments

    Presentation: 1:00-1:20 p.m., Jessie Hathcock Hall 180

    Description

    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.

    Publication Date

    4-19-2023

    Project Designation

    Graduate Research 202253 CPS 596 P1

    Primary Advisor

    Van Nguyen, Ju Shen

    Primary Advisor's Department

    Computer Science

    Keywords

    Stander Symposium, College of Arts and Sciences

    Large Scale Benchmark for House Price Prediction

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