HM
5.0Reviewed Sep 17, 2025
Gain maximum information in relative short period of time.
Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.
K-Means Clustering 101: 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).
Status: Data Analysis
Status: Plotly
BeginnerGuided Project2 hours
Featured reviews
AB
4.0Reviewed Dec 18, 2022
I learned a lot during this guided project.Thank you very muchAkash Bhat
CP
5.0Reviewed May 30, 2022
Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.
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christophe poujol
5.0
Reviewed May 30, 2022Hussain Mansoor
5.0
Reviewed Sep 17, 2025Gain maximum information in relative short period of time.
yu yuna
5.0
Reviewed Sep 7, 2022really nice course and thanks a lots
Sharwari Hanumant Ghadge
5.0
Reviewed Oct 9, 2024good
Akash Bhat
4.0
Reviewed Dec 18, 2022I learned a lot during this guided project.
Thank you very much
Akash Bhat