Skip to content

AlexKalll/Unsupervised-Machine-Learning

View on GitHub ↗Related repositories →

This repository focuses on implementing and evaluating unsupervised learning algorithms such as hierarchical clustering, agglomerative clustering k-means clustering, PCA, and autoencoders. Includes code, datasets, and visualizations.

active 2025-03-022025-07-14 (UTC)

Partial coverage12,935 / 15,151 hourly files (85%) · 2 absent upstream · 2,210 failed, retryable2024-11-172026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
8
Pushes
5
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 135 days from 2025-03-02 to 2025-07-14. Pushes: 5 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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
AlexKalll5500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.