Skip to content
GitHub Explorer

Projects-Developer/Cyber-Threat-Detection-Using-Machine-Learning

View on GitHub ↗Related repositories →

Cyber threat detection using machine learning is a proactive approach to cybersecurity that involves training machine learning algorithms

active 2024-12-24 → 2025-03-02 (UTC)

Partial coverage13,633 / 16,276 hourly files (84%) · 2 absent upstream · 2,637 failed, retryable2024-10-02 → 2026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
9
Pushes
3
Pull requests
0
Issues
1
Stars
3
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 69 days from 2024-12-24 to 2025-03-02. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 2 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
Projects-Developer4300

Recent activity

Latest issues, pull requests and releases

  • Issue#1Projects-Developer2024-12-24 10:43
    cyber threat

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.