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GitHub / maryamteimouri / DataAnalysis-and-KnowledgeDiscovery

This project aims to practice the steps of Crisp Data Mining ( CRISP-DM ). The repository includes 3 phases, data understanding, supervised learning, and unsupervised learning.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/maryamteimouri%2FDataAnalysis-and-KnowledgeDiscovery

Stars: 0
Forks: 0
Open Issues: 0

License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 481 KB
Dependencies: 0

Created: 4 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago

Topics: agglomerative-clustering, classification, clustering, crisp-dm, cross-validation, data-preprocessing, data-visualization, dendogram, k-means-clustering, one-hot-encode, pca, principal-component-analysis, z-score

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