Unsupervised Learning Algorithms
Here’s What We’ll Cover: Unsupervised Learning Algorithms Clustering: k-means clustering, hierarchical clustering, DBSCAN. Dimensionality reduction: principal component analysis (PCA), t-SNE, LDA. Association rule learning: Apriori algorithm, FP-growth algorithm.
Overview
Here’s What We’ll Cover:
Unsupervised Learning Algorithms
- Clustering: k-means clustering, hierarchical clustering, DBSCAN.
- Dimensionality reduction: principal component analysis (PCA), t-SNE, LDA.
- Association rule learning: Apriori algorithm, FP-growth algorithm.
Curriculum
Instructor
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Course Features
- Lectures 0
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes