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Abstract: Machine learning (ML) systems in finance raise concerns about fairness, bias, and regulatory compliance, especially in high-stakes areas like creditworthiness, lending, and risk assessment.
This paper presents a machine learning-based API framework for adaptive programming learning. The system evaluates learner performance using source code metrics (e.g., Lines of Code, Cyclomatic ...
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