Introduction to Machine Learning: Unsupervised Learning
Completed by Felipe Molino Ferrer
September 29, 2026
14 hours (approximately)
Felipe Molino Ferrer's account is verified. Coursera certifies their successful completion of Introduction to Machine Learning: Unsupervised Learning
What you will learn
Explain the goals, challenges, and appropriate use cases of unsupervised learning.
Apply dimensionality reduction techniques to analyze and visualize high-dimensional data.
Discover and interpret structure in data using clustering methods.
Address missing data and recommender system problems using matrix completion techniques.
Skills you will gain
- Category: Feature Engineering
- Category: Supervised Learning
- Category: Machine Learning Methods
- Category: Model Evaluation
