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CarlosMEbratt/Titanic---Machine-Learning-from-Disaster

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Use machine learning XGBoost model to predict which passengers survived the Titanic shipwreck.

active 2024-03-21 → 2024-09-23 (UTC)

Complete coverage27,936 / 27,936 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-21 (UTC)
Events
32
Pushes
18
Pull requests
10
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 187 days from 2024-03-21 to 2024-09-23. Pushes: 18 total, peak 8 in a day. Pull requests: 10 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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
CarlosMEbratt2818100

Recent activity

Latest issues, pull requests and releases

  • Pull request#8CarlosMEbratt2024-09-23 23:06
  • Pull request#8CarlosMEbratt2024-09-23 23:05
  • Pull request#7CarlosMEbratt2024-05-02 02:29
  • Pull request#7CarlosMEbratt2024-05-02 02:29
  • Pull request#6CarlosMEbratt2024-03-22 02:06
  • Pull request#6CarlosMEbratt2024-03-22 02:06
  • Pull request#5CarlosMEbratt2024-03-22 02:04
  • Pull request#5CarlosMEbratt2024-03-22 02:04
  • Pull request#2CarlosMEbratt2024-03-21 16:58
  • Pull request#2CarlosMEbratt2024-03-21 16:58

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.