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Learner Reviews & Feedback for K-Means Clustering 101: World Happiness Report by Coursera Project Network
18 ratings
About the 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).
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).
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1 - 4 of 4 Reviews for K-Means Clustering 101: World Happiness Report
By christophe p
•May 30, 2022
Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.
By yu y
•Sep 6, 2022
really nice course and thanks a lots
By Sharwari H G
•Oct 9, 2024
good
By Akash B
•Dec 18, 2022
I learned a lot during this guided project.
Thank you very much
Akash Bhat