In this case study, we will train an unsupervised machine learning algorithm to cluster countries based on features such as economic expectancy, freedom, absence of corruption, and generosity. The happiness scores and rankings data has been collected by asking individuals to rank their life from 0 (worst possible life) to 10 (best possible life).