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.
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.
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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.
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Jupyter Notebook
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Last pushed
Jun 04, 2023
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