K-Means Clustering 101: World Happiness Report

About this guided project

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 skills will you gain?

Machine Learning

Artificial Intelligence and Machine Learning (AI/ML)

Unsupervised Learning

Machine Learning Methods

Applied Machine Learning