My project (Exercise And Fitness Metrics Dataset) utilizes linear regression to transform fitness tracking from simple observation into a predictive science for better health management.
Using a dataset of nearly 1,000 records, I developed a mathematical model to forecast caloric burn while identifying how specific demographics, like gender and BMI, influence exercise efficiency.
My analysis specifically highlights performance variations across these categories to provide more personalized and accurate fitness insights.
