Country Data Analysis Project

This project involves the collection, cleaning, and comprehensive analysis of country-level data to derive insights into global trends, well-being, and socio-economic factors. It utilizes various machine learning techniques including regression, classification, clustering, and anomaly detection to understand complex relationships within the data.

Detailed Project Information

For a more in-depth understanding of the project, including data collection methodologies, analytical techniques, and detailed results, please refer to the README.md file.