- Machine Learning
- Plotly
- Social Sciences
- Data Analysis
- Python Programming
- Applied Machine Learning
- Unsupervised Learning
- Data Visualization
- Scikit Learn (Machine Learning Library)
- Machine Learning Algorithms
- Socioeconomics
- Exploratory Data Analysis
K-Means Clustering 101: World Happiness Report
Completed by AMAN VERMA
May 7, 2024
1 hours (approximately)
AMAN VERMA'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
