Education is a key factor in the development of social society. The study on improving education quality has never been stopped. Nowadays, with more structured data collected from students, a qualitative analysis using machine learning can give insights into the factors that have a strong influence on students' performance. In this repo, the Student Performance Data Set[1] from UCI is explored and analyzed using a few supervised machine learning algorithms.
This is a release of V1.0: https://github.com/ShunChi100/MachineLearningAnalysis_Student_Performance/tree/V1.0
Please see the analysis notebook here: https://github.com/ShunChi100/MachineLearningAnalysis_Student_Performance/blob/master/src/data_analysis.ipynb
Please see the report markdown file here: https://github.com/ShunChi100/MachineLearningAnalysis_Student_Performance/blob/master/doc/Analysis_student_performance.md