OMSCS Student Success ML Predictions (Fall 2024)
The project uses various machine learning techniques to examine the impact of different preparatory factors, including prior coursework in Python, data structures, and algorithms, as well as self-directed learning, on student success measures, particularly their weighted GPA.
I work with Alex Duncan, Jeonghyun Lee, Meryem Yilmaz Soylu.