K-Means Clustering 101: World Happiness Report(으)로 돌아가기
Coursera Project Network의 K-Means Clustering 101: World Happiness Report 학습자 리뷰 및 피드백
11개의 평가
강좌 소개
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).
최상위 리뷰
필터링 기준:
K-Means Clustering 101: World Happiness Report의 3개 리뷰 중 1~3
교육 기관: christophe p
•2022년 5월 30일
Good project to learn K-Means, good instructor, very comprehensive slides and interesting dataset. Basic Python knowledge needed.
교육 기관: yu y
•2022년 9월 6일
really nice course and thanks a lots
교육 기관: AKASH B
•2022년 12월 18일
I learned a lot during this guided project.
Thank you very much
Akash Bhat
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