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Identifying Student Candidates in Higher Education using Machine Learning

24 Apr
By: ClearScale
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Higher education institutions have for years faced the challenge of trying to not only identify prospective students, but optimizing the recruitment and retention processes so as to not spend resources on prospective students that ultimately decide not to attend the college or university. Schools typically track information about the ultimate outcome of a student deciding to attend or not, and this information has been used to help staff determine the proper approach to minimizing marketing spend where appropriate. One organization

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