alessandroryo/student-dropout-prediction
A machine learning project to predict student dropout risks based on demographic, academic, and socio-economic factors. Includes data preprocessing, feature engineering, model training, and deployment scripts. Designed to help educational institutions identify at-risk students and improve retention rates.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 03, 2024
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