This project leverages data mining techniques to analyze student performance data, aiming to provide valuable insights for educators. By employing decision tree, support vector classifier, and naive Bayes models, it seeks to predict student performance based on various exam scores.
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This project uses data mining to analyze student performance and predict pass/fail outcomes.
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