Clustering Analysis
Completed by kusumesh mathukumilli
July 12, 2025
37 hours (approximately)
kusumesh mathukumilli'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: Applied Machine Learning
- Category: Dimensionality Reduction
- Category: Model Evaluation
- Category: Data Analysis
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: Data Mining
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Exploratory Data Analysis
- Category: Machine Learning Algorithms

