K-Means Clustering 101: World Happiness Report
Completed by David Cain Hicks
October 15, 2025
1 hours (approximately)
David Cain Hicks's account is verified. Coursera certifies their successful completion of K-Means Clustering 101: World Happiness Report
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
Skills you will gain
- Category: Socioeconomics
- Category: Social Sciences
- Category: Machine Learning
- Category: Social Determinants Of Health
- Category: Scientific Visualization
- Category: Economics, Policy, and Social Studies
- Category: Machine Learning Methods
- Category: Machine Learning Algorithms
- Category: Statistical Machine Learning
- Category: Plotly
- Category: Unsupervised Learning
- Category: Data Analysis
