- Scikit Learn (Machine Learning Library)
- Data Analysis
- Applied Machine Learning
- Exploratory Data Analysis
- Socioeconomics
- Plotly
- Machine Learning Algorithms
- Machine Learning
- Social Sciences
- Data Visualization
- Python Programming
- Unsupervised Learning
K-Means Clustering 101: World Happiness Report
Completed by MAKAN SOULEYMANE CAMARA
June 24, 2022
1 hours (approximately)
MAKAN SOULEYMANE CAMARA'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
