Segmentation and Clustering
- Offered byUDACITY
Segmentation and Clustering at UDACITY Overview
Segmentation and Clustering
at UDACITY
Use machine learning to create segments
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Segmentation and Clustering at UDACITY Highlights
Segmentation and Clustering
at UDACITY
- Highly-curated content
Taught by industry experts
Self-paced progress
Segmentation and Clustering at UDACITY Course details
Segmentation and Clustering
at UDACITY
More about this course
- Learner will know
- The key concepts of segmentation and clustering, such as standardization vs. localization, distance, and scaling
- The concepts of variable reduction and how to use principal components analysis (PCA) to prepare data for clustering models
- How to choose between hierarchical and k-centroid clustering models
- How to build and apply k-centroid clustering models
Segmentation and Clustering at UDACITY Curriculum
Segmentation and Clustering
at UDACITY
Segmentation and Clustering at UDACITY Faculty details
Segmentation and Clustering
at UDACITY
Rod Light
Designation : Instructor
Segmentation and Clustering at UDACITY Entry Requirements
Segmentation and Clustering
at UDACITY
Eligibility criteria
- No programming experience required Interested in using data to make better business decisions Alteryx license (provided to Nanodegree students at no cost, compatible with Windows only)
Conditional Offer
- Not mentioned
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