AbhishekMali21/STUDENT-GRADE-ANALYSIS-PREDICTION
Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset.
This project helps educators predict whether high school students will perform well on their final exams. By inputting information like student demographics, family background, school-related factors, and early grades, it outputs a prediction of their final grade performance. This tool is designed for teachers, academic advisors, and school administrators to identify students who might need extra support.
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Use this if you are an educator looking to proactively identify students at risk of poor academic performance based on their personal and school data.
Not ideal if you need to predict precise numerical grades or if your student data doesn't include detailed demographic and social attributes.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 30, 2024
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