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GitHub / cavallon / CryptoClustering
This project applies Python and unsupervised learning to predict cryptocurrency price changes over 24 hours or 7 days. It involves data preparation, clustering using K-means, and visualizing results to understand the impact of using fewer features in clustering.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cavallon%2FCryptoClustering
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 270 KB
Dependencies:
0
Created: 2 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Topics: clustering, elbow-method, k-means, unsupervised-learning
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