K-Means Clustering 101: World Happiness Report

About this course

In this case study, we will train an unsupervised machine learning algorithm to cluster countries based on features such as economic production, social support, life expectancy, freedom, absence of corruption, and generosity. The World Happiness Report determines the state of global happiness. 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).

What you will learn

• Understand how to leverage the power of machine learning to perform unsupervised segmentation
• Learn how to use Plotly to visualize geographical data
• Learn how to obtain the optimal number of clusters using the elbow method