返回到 K-Means Clustering 101: World Happiness Report
学生对 Coursera Project Network 提供的 K-Means Clustering 101: World Happiness Report 的评价和反馈
19 个评分
课程概述
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).
热门审阅
CP
May 29, 2022
Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.
HM
Sep 16, 2025
Gain maximum information in relative short period of time.
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1 - K-Means Clustering 101: World Happiness Report 的 5 个评论（共 5 个）
创建者 christophe p
•May 30, 2022
Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.
创建者 Hussain M
•Sep 17, 2025
Gain maximum information in relative short period of time.
创建者 yu y
•Sep 6, 2022
really nice course and thanks a lots
创建者 Sharwari H G
•Oct 9, 2024
good
创建者 Akash B
•Dec 18, 2022
I learned a lot during this guided project.
Thank you very much
Akash Bhat