K-Means Clustering 101: World Happiness Report

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K-Means Clustering 101: World Happiness Report provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. K-Means Clustering 101: World Happiness Report is taught by Ryan Ahmed. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

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1-2 hours worth of material

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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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Language

English
Certificate
Paid Certificate Available
Date of Start
07th November, 2022
Level
Beginner
Price
Paid Course
Provider
Coursera
Taught By

Ryan Ahmed
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K-Means Clustering 101: World Happiness Report

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