Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.
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Updated
Apr 25, 2024 - Python
Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.
This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course
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Analyse performance of students on the basis of their personal life style, studying style, family related, educational environment satisfaction, students grades using ML model
To understand the how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).
Application for university teachers, students or administration, which will help them to check and monitor the academic performance of students, student groups etc. with dashboard of reports and infographics.
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