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