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Volver a K-Means Clustering 101: World Happiness Report

Opiniones y comentarios de aprendices correspondientes a K-Means Clustering 101: World Happiness Report por parte de Coursera Project Network

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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)....

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1 - 3 de 3 revisiones para K-Means Clustering 101: World Happiness Report

por christophe p

30 de may. de 2022

Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.

por yu y

6 de sep. de 2022

really nice course and thanks a lots

por AKASH B

18 de dic. de 2022

I learned a lot during this guided project.

Thank you very much

Akash Bhat