Goal of this project is to explore the various, health-related variable combinations which contribute to both the absence and presence of diabetes in patients with the use of association rule mining via apriori algorithm.

A focused analysis of how alcohol consumption shapes cognitive skills and academic outcomes in university students, uncovering patterns of risk and the subtle ways drinking disrupts learning.

This study identifies four distinct student stress profiles by applying PAM and HCPC clustering to the Student Academic Stress dataset. The model captures 76% of the total variance and reveals that Peer Pressure rather than overall stress intensity is the primary differentiator between student clusters.