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Tim0308/K-means-Model_Python

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K-means clustering is an unsupervised learning algorithm which helps us to divide our training data into k unique clusters.

active 2024-01-23 → 2024-04-17 (UTC)

Complete coverage26,404 / 26,404 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-19 (UTC)
Events
9
Pushes
4
Pull requests
2
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 86 days from 2024-01-23 to 2024-04-17. Pushes: 4 total, peak 3 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Tim03086420

Recent activity

Latest issues, pull requests and releases

  • Pull request#1Tim03082024-04-17 15:15
  • Pull request#1Tim03082024-04-17 15:15

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.