skprasad117/Predicting-Student-Performance-Using-Machine-Learning

Using machine learning algorithms, this project aims to predict student performance in standardized tests based on demographic and academic data.

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This project helps educators and parents predict a student's mathematics performance by analyzing demographic information like gender, ethnicity, parental education, lunch type, and test preparation. You input a student's background details, and it estimates their potential math score. It's designed for anyone interested in understanding factors that influence student academic outcomes.

No commits in the last 6 months.

Use this if you want to explore how various student background factors might correlate with their math test scores and identify potential areas where students might need extra support.

Not ideal if you need definitive, real-world predictions for high-stakes decisions, as this tool is for educational demonstration and insight purposes only.

education-analytics student-assessment academic-insights predictive-modeling educational-strategy
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 20 / 25

How are scores calculated?

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46

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25

Language

Jupyter Notebook

License

Last pushed

Jun 04, 2023

Commits (30d)

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