- Dimensionality Reduction
- Data Analysis
- Exploratory Data Analysis
- Data Mining
- Machine Learning Methods
- Applied Machine Learning
- Statistical Machine Learning
- Machine Learning Algorithms
- Machine Learning
- Unsupervised Learning
Clustering Analysis
Completed by Alina Kolesnikova
January 16, 2024
37 hours (approximately)
Alina Kolesnikova's account is verified. Coursera certifies their successful completion of Clustering Analysis
What you will learn
Understand the principles and significance of unsupervised learning, particularly clustering and dimension reduction.
Apply clustering techniques to diverse datasets for pattern discovery and data exploration.
Implement Principal Component Analysis (PCA) for dimension reduction and interpret the reduced feature space.