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.
Skills you will gain
- Category: Algorithms
- Category: Dimensionality Reduction
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Exploratory Data Analysis
