Clustering Analysis
Completed by Rodrigo Alvarado Cantú
July 17, 2024
37 hours (approximately)
Rodrigo Alvarado Cantú'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: Machine Learning
- Category: Data Mining
- Category: Algorithms
- Category: Machine Learning Methods
- Category: Exploratory Data Analysis
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Data Analysis
- Category: Machine Learning Algorithms
