- Exploratory Data Analysis
- Data Analysis
- Socioeconomics
- Scikit Learn (Machine Learning Library)
- Scatter Plots
- Social Sciences
- Plotly
- Applied Machine Learning
- Data Visualization
- Machine Learning Algorithms
- Machine Learning
- Python Programming
K-Means Clustering 101: World Happiness Report
Completed by Craig Frayne
December 30, 2021
1 hours (approximately)
Craig Frayne'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
