K-Means Clustering 101: World Happiness Report
Completed by Cafer Cruz
June 7, 2021
1 hours (approximately)
Cafer Cruz's account is verified. Coursera certifies their successful completion of K-Means Clustering 101: World Happiness Report
What you will learn
Understand how to leverage the power of machine learning to perform unsupervised segmentation
Learn how to use Plotly to visualize geographical data
Learn how to obtain the optimal number of clusters using the elbow method
Skills you will gain
- Category: Python Programming
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Socioeconomics
- Category: Data Analysis
- Category: Applied Machine Learning
- Category: Data Visualization
- Category: Machine Learning Methods
- Category: Plotly
- Category: Unsupervised Learning
