Project information

• Category: Python
• Model Type: Multiple Linear Regression
• Project Date: 12 April, 2024
• Project Link: Github

This project involved a comprehensive analysis of the WHO Life Expectancy dataset to predict global life expectancy using advanced data analytics and machine learning. I performed extensive exploratory data analysis to uncover how health, economic, and demographic indicators—such as GDP per capita, schooling, and mortality rates—impact life expectancy across both developed and developing nations. By employing multiple linear regression with thoughtful feature engineering and regularization techniques to address multicollinearity, the final model achieved a test R² near 0.99. This work not only demonstrates my ability to derive actionable insights from complex, real-world data, but also reflects my commitment to using data-driven approaches to inform global public health strategies.