The Paris Olympics of July-August 2024 is still fresh in everyone’s memory, and it is a good time for introspection. In this article, leveraging Machine Learning (ML) tools, let us try to answer the question of what it will take for an aspiring nation to get into the Olympics Big League. Note: This is a further deep-dive to identify core clusters and drivers over and above my earlier post here. Methodology: The relevant data was obtained from established sources in the public domain, mainly, World Bank Open Data and the Paris Olympics from Olympics.com, and cleansed where required, supported by … Continue reading Getting into the Olympics Big League — a Machine Learning perspective using KMeans Clustering