hamzaezzine/Predict-students-dropout-and-academic-success-using-machine-learning-algorithms

Predict Students Dropout and Academic Success Using Machine Learning Algorithms

19
/ 100
Experimental

This project helps higher education institutions understand and predict which students are likely to drop out or succeed. By analyzing student demographic, socio-economic, academic, and even broader economic information, it identifies patterns leading to early exits. It takes in detailed student records and outputs predictions of student success or dropout, helping administrators and academic advisors intervene proactively.

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Use this if you are a university administrator or academic advisor looking to identify students at risk of dropping out early in their academic journey.

Not ideal if you need to predict student performance in K-12 education or analyze factors beyond those related to higher education enrollment and progress.

higher-education student-retention academic-advising enrollment-management institutional-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 6 / 25

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Last pushed

Jan 23, 2024

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