Clustering Analysis
Completed by Aye Myat Mon
March 15, 2024
37 hours (approximately)
Aye Myat Mon'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: Dimensionality Reduction
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Data Mining
- Category: Algorithms
- Category: Unsupervised Learning
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Exploratory Data Analysis
- Category: Applied Machine Learning
- Category: Data Analysis
