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LinkedInLearning/applied-machine-learning-algorithms-3806104

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This repo is forked from the Linkedin Learning course: Applied Machine Learning: Algorithms [Revision 2024 Q2]

active 2024-04-15 → 2025-09-24 (UTC)

Complete coverage28,078 / 28,078 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-27 (UTC)
Events
62
Pushes
1
Pull requests
1
Issues
0
Stars
17
Forks
42

Activity over time

Daily event counts in the loaded window

Line chart, 528 days from 2024-04-15 to 2025-09-24. Pushes: 1 total, peak 1 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 17 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
rzashfak1010
smoser-LiL1100

Recent activity

Latest issues, pull requests and releases

  • Pull request#1rzashfak2025-01-23 18:13

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 17 stars here means stars gained during the window, not the repo's star count.