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This project develops a predictive model for student academic performance by analyzing 80,000 synthetically generated student records. By leveraging both linear and non-linear machine learning algorithms, we identify key factors influencing exam scores and provide actionable insights for educational institutions.

  • Updated Nov 21, 2025
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