Presenter(s)

    Sai Surya Vaddi, Amira A. Yousif

    Comments

    Presentation: 11:00 a.m.-11:20 a.m., Kennedy Union 211

    This project reflects research conducted as part of a course project designed to give students experience in the research process.

    Course: CPS 595

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    Description

    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.

    Publication Date

    4-20-2022

    Project Designation

    Course Project

    Primary Advisor

    Van Tam Nguyen

    Primary Advisor's Department

    Computer Science

    Keywords

    Stander Symposium project, College of Arts and Sciences

    United Nations Sustainable Development Goals

    Decent Work and Economic Growth

    House Price Prediction using Machine Learning

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