Predicting Vulnerability Exploitation - A Machine Learning Approach
This R Quarto project predicts CVE exploitation using Machine Learning. Integrates NVD, EPSS, and CISA KEV data to forecast active threats. Features Random Forest modeling, SMOTE balancing, and executive risk visualization to enable proactive vulnerability prioritization.