K-Means Clustering 101: World Happiness Report
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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).
Syllabus
- Clustering: World Happiness Report
- 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).
Taught by
Ryan Ahmed
Related Courses
"A Christmas Carol" by Dickens: BerkeleyX Book ClubUniversity of California, Berkeley via edX The Science of Generosity: Do Good…Feel Good
University of Pennsylvania via edX The Science of Generosity: Do Good...Feel Good
University of Pennsylvania via Coursera Arianna Huffington's Thrive 06: Understanding the Link between Giving and Success
LinkedIn Learning Lessons in Enlightened Leadership
LinkedIn Learning