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edadso/IncomePredictor-Predicting-Economic-Disparities-Using-ML

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This project follows the CRISP-DM framework with the objective of developing a machine learning model that predicts whether an individual, based on specific characteristics, is likely to earn above or below a $50,000 threshold. The models will then be deployed for practical use.

active 2024-09-042024-09-25 (UTC)

Complete coverage26,407 / 26,407 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
40
Pushes
32
Pull requests
2
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 22 days from 2024-09-04 to 2024-09-25. Pushes: 32 total, peak 5 in a day. Pull requests: 2 total, peak 1 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
edadso333210
DelphinKdl1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#1edadso2024-09-13 10:15
  • Pull request#1DelphinKdl2024-09-12 22:54

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.