GitHub / Ohara124c41 / MLND-Customer_Segments
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ohara124c41%2FMLND-Customer_Segments
PURL: pkg:github/Ohara124c41/MLND-Customer_Segments
Fork of nd009/creating_customer_segments
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 768 KB
Dependencies parsed at: Pending
Created at: over 6 years ago
Updated at: over 1 year ago
Pushed at: over 6 years ago
Last synced at: over 1 year ago
Topics: feature-engineering, feature-selection, ica, learning-curves, model-complexity, pca, sklearn
Funding Links https://github.com/sponsors/Ohara124c41