- Machine Learning
- Plotly
- Data Visualization
- Scikit Learn (Machine Learning Library)
- Machine Learning Algorithms
- Applied Machine Learning
- Data Analysis
- Socioeconomics
- Unsupervised Learning
- Social Sciences
- Python Programming
- Exploratory Data Analysis
K-Means Clustering 101: World Happiness Report
Completed by Muhammad Zaki
March 24, 2023
1 hours (approximately)
Muhammad Zaki'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
