Skip to content

A predictive model to assess layoff risks within organizations, identifying key factors influencing layoff decisions. Trained and evaluated various Machine Learning and Deep Learning algorithms to achieve optimal predictive performance.

active 2024-03-182024-09-10 (UTC)

Complete coverage26,529 / 26,529 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
15
Pushes
10
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 177 days from 2024-03-18 to 2024-09-10. Pushes: 10 total, peak 3 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: 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
sthasangam6600
bigyaa4400

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 — 0 stars here means stars gained during the window, not the repo's star count.