siphesihlegema/Student-Success-repo

Entry for the Student Success Prediction Hackathon 2025. We use anonymised demographic, academic and application data to build fairness-aware models that predict an applicant’s progress score (1-5) through multi-stage selections in South Africa. This repo contains data prep, modelling, notebooks, evaluation code, and the final report. # 🧠 Student Success Prediction Hackathon (2025) Predict applicant progress (1‑6) in multi‑stage selection using fairness‑aware ML. Repo contains data prep, modeling, evaluation code & report scaffold.