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Description
Created predictive models using R to determine significant variables that help determine whether someone will default on their loans using a data set of almost 900,000 loan applicants.
ContributorsMazza, Rachel Marie (Author) / Schneider, Laurence (Thesis director) / Sha, Xiqing (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05