Clustering Analysis
Completed by Kunxi Liu
November 30, 2024
37 hours (approximately)
Kunxi Liu'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: Unsupervised Learning
- Category: Exploratory Data Analysis
- Category: Machine Learning
- Category: Data Analysis
- Category: Machine Learning Algorithms
- Category: Dimensionality Reduction
- Category: Model Evaluation
- Category: Algorithms
- Category: Anomaly Detection
- Category: Data Mining
