A machine learning model predicted student dropout rates and academic success by identifying at-risk students and providing targeted interventions.
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Updated
May 4, 2023 - Jupyter Notebook
A machine learning model predicted student dropout rates and academic success by identifying at-risk students and providing targeted interventions.
The classification problem of student dropout data of an institute
Work on IEEE Journal Special Issue on Early Prediction and Supporting of Learning Performance
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