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We are deploying an IPL Win Predictor model using machine learning. we are mainly focusing on the deployment part rather than model building part. Keeping this in view, we have gathered the data and model code from @Sauravkr1806 git repo of "IPL-Predictor".

active 2024-07-182024-07-19 (UTC)

Complete coverage27,247 / 27,250 hourly files (100%) · 2 absent upstream2023-08-152026-09-23 (UTC)
Events
37
Pushes
17
Pull requests
10
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-07-18 to 2024-07-19. Pushes: 17 total, peak 17 in a day. Pull requests: 10 total, peak 10 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
venkatnadella2010100
Shashank99975500
seshasai-meka2200

Recent activity

Latest issues, pull requests and releases

  • Pull request#5venkatnadella2024-07-19 03:49
  • Pull request#5venkatnadella2024-07-19 03:49
  • Pull request#4venkatnadella2024-07-19 03:49
  • Pull request#4venkatnadella2024-07-19 03:48
  • Pull request#3venkatnadella2024-07-19 03:30
  • Pull request#3venkatnadella2024-07-19 03:30
  • Pull request#2venkatnadella2024-07-19 03:11
  • Pull request#2venkatnadella2024-07-19 03:11
  • Pull request#1venkatnadella2024-07-19 02:35
  • Pull request#1venkatnadella2024-07-19 02:34

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.