Damiieibikun/Student-s-Dropout-Prediction-using-Supervised-Machine-Learning-Classifiers
A simple Data science project on Predicting Student's dropout using Machine Learning classification models
This project helps university administrators and academic advisors identify students at risk of dropping out. By analyzing demographic details, academic performance (like semester grades), and socio-economic factors, it predicts which students are likely to leave their programs. The output is a prediction of student dropout risk, enabling institutions to provide timely support and resources to at-risk individuals.
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Use this if you are an educational institution looking to proactively identify students who might drop out and implement early intervention strategies.
Not ideal if you need to analyze student performance for grading or curriculum design rather than dropout prediction.
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Jupyter Notebook
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Last pushed
Nov 14, 2023
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