sulphatet / academic-predictor

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academic-predictor

academic-success is a machine learning predictor system that predicts student dropout rates or academic success and provides targeted interventions and support. The repository includes code and resources for integrating the model into educational institutions' existing student support systems.

src folder contains python scripts (train.py provides a robust method to train and check metrics over various models)

inputs datasets we are currently using Citation: DOI

models .bin files of the models trained

EDA+Baseline.ipynb jupyter Notebook containing basic EDA by me

-Affan

My LinkedIn: https://www.linkedin.com/in/syed-affan-38b378216

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