Predicting University Enrollments with Machine Learning
So far, the procedure for university enrollments it has been done manually. In addition, it has always required a great effort and experience on the part of the team that manages them. We are facing a complex problem, that is, if we wanted to automate this procedure, we could not apply a traditional approach nor any generic rule or algorithm to determine whether or not a student will enroll because of the behavior of each student is quite unpredictable. For this reason, it is proposed to apply Machine Learning with the purpose of generating and analyzing various predictive models based on the previous academic history of all students.
