FaizanZaheerGit/StudentPerformancePrediction-ML
This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
Implements multiple classifier models (with comparative accuracy evaluation) and generates visualizations including confusion matrices, heatmaps, and correlation charts to identify which behavioral factors—attendance, study hours, participation—most strongly influence academic outcomes. Uses scikit-learn for model training and matplotlib/seaborn for exploratory data analysis and results interpretation.
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Oct 31, 2025
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