This project uses Machine Learning to predict whether a student will pass or fail based on study hours, attendance, and marks. Data preprocessing is performed to handle missing values, convert categorical data, and normalize features before training a Logistic Regression model. The system helps identify students who need academic support.
☆12Feb 14, 2026Updated 8 months ago
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