Discover the Reasoning behind School Dropouts from Public K-12 Student Datasets for Mecklenburg County (NC)

In this project, we dealt with various detailed K-12 student datasets from the county office for multiple years where we tried to identify the reasoning behind students dropping out of school. We applied diverse data mining approaches ranging from regression, clustering, frequent pattern mining, and heat map for students' relocating to find insights on why or which categories of students are more likely to dropout from high school.

Remarks:

I was the lead on this project for KDD class under the guidance of Dr. Xi (Sunshine) Niu at UNC Charlotte.