Capstone

A Data-Driven Analysis of Team Effort and Project Effectiveness in Student Software Development Teams

Applied machine learning models (Random Forest, XGBoost, SVM, MLP) on dynamic malware features — file operations, registry activity, network connections, mutexes, and services — achieving high accuracy and F1-scores with automated evaluation, visualization, and feature importance analysis.