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This repository hosts a machine learning-based project focused on predicting diabetes risk among individuals. Utilizing advanced algorithms and data analysis techniques, our project aims to provide accurate predictions and insights into potential diabetes occurrences based on various health parameters.

active 2023-11-262024-05-14 (UTC)

Complete coverage26,517 / 26,517 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
15
Pushes
6
Pull requests
6
Issues
0
Stars
0
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 171 days from 2023-11-26 to 2024-05-14. Pushes: 6 total, peak 3 in a day. Pull requests: 6 total, peak 6 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
raktimbar1009360
Deba9513300

Recent activity

Latest issues, pull requests and releases

  • Pull request#4raktimbar1002023-11-26 18:30
  • Pull request#3raktimbar1002023-11-26 18:29
  • Pull request#3raktimbar1002023-11-26 18:29
  • Pull request#2raktimbar1002023-11-26 17:36
  • Pull request#2raktimbar1002023-11-26 17:36
  • Pull request#1raktimbar1002023-11-26 17:09

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.