Predicting Texas Public Universities Retention Rate With Multi Variable Linear Regression and Neural Networks in R

dc.contributor.authorPavlicek, James
dc.date.accessioned2024-02-20T16:33:30Z
dc.date.available2024-02-20T16:33:30Z
dc.date.issued2024-02-16
dc.description.abstractThis study reveals that faculty salaries, academic preparedness, and student demographics are pivotal to student retention at Texas public universities, providing data-driven strategies to enhance institutional success and growth.
dc.identifier.urihttps://hdl.handle.net/10877/18058
dc.language.isoen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjecteducation, public universities, machine learning
dc.titlePredicting Texas Public Universities Retention Rate With Multi Variable Linear Regression and Neural Networks in R
dc.typePresentation

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