A semantic approach towards student performance prediction using data mining techniques.
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Updated
Jul 14, 2021 - Jupyter Notebook
A semantic approach towards student performance prediction using data mining techniques.
Student performance in exams prediction and analysis using python
Engineered the Naive Bayes Algorithm from scratch. Utilized the student performance dataset from the UCI ML repo.
This repository hosts a study analyzing the impact of mental health on students' academic performance, specifically looking at GPA correlations. Using Python for statistical analysis, it challenges prior research by demonstrating no negative correlation between mental health issues and academic success.
This repository contains the code lines and raw data of my Marketing-based capstone research: Analysis of student satisfaction and the progress in their performance at an IELTS center in Vietnam. I collected real data from McIELTS center in Ho Chi Minh City.
Academic Insights provides interactive academic statistics and analyses for students and educators, utilizing modern web technologies. It serves as an essential tool for monitoring educational performance and progress.
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