FaizanZaheerGit/StudentPerformancePrediction-ML

This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file

46
/ 100
Emerging

This tool helps educators and administrators understand which specific factors significantly influence student grades. You provide student data in a CSV file, including demographics and classroom behaviors like hands raised or study hours, and it outputs predictions and visualizations showing the key determinants of academic performance. This is for teachers, school counselors, or education researchers looking to identify patterns and improve student outcomes.

171 stars.

Use this if you have student data and want to pinpoint which behaviors or background factors are most predictive of their grades.

Not ideal if you need to predict individual student grades with high accuracy for grading purposes, as this focuses on identifying influential factors rather than precise score prediction.

education-analytics student-success academic-performance educational-research pedagogy-improvement
No License No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

How are scores calculated?

Stars

171

Forks

61

Language

Python

License

Last pushed

Oct 31, 2025

Commits (30d)

0

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