The research paper "Risk Radar" aims to predict the risk for investors to invest in a given country by analysing political and economic factors through data science. Using machine learning models such as K-Nearest Neighbors, Support Vector Machines, and Artificial Neural Networks, the study examines the relationship between political stability, governance, and economic performance in influencing investment outcomes. The report provides investors with actionable insights for strategic decision-making in complex global markets, offering a nuanced understanding of risk variables. The comprehensive approach includes a literature review, data processing, and rigorous model testing to enhance the effectiveness of risk assessment.

• StackPython 3.10, Tensorflow 2.14 & Keras
• Githubhttps://github.com/jamey-schaap/Minor-Data_Science-Project