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active 2024-05-222024-06-06 (UTC)

Complete coverage26,440 / 26,440 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
43
Pushes
24
Pull requests
0
Issues
17
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 16 days from 2024-05-22 to 2024-06-06. Pushes: 24 total, peak 12 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 17 total, peak 10 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
cateagle21500
Timson1235201900

Recent activity

Latest issues, pull requests and releases

  • Issue#3Timson12352024-06-06 17:49
    Research 3 papers with similar machine learning tasks
  • Issue#9cateagle2024-05-30 22:59
    do exploratory data analysis with the real data
  • Issue#11cateagle2024-05-30 21:08
    fix future warning in DataHandler.load_from_csv()
  • Issue#9cateagle2024-05-30 21:05
    do exploratory data analysis with the real data
  • Issue#4cateagle2024-05-30 21:03
    Wait for real data
  • Issue#10cateagle2024-05-30 21:03
    remove sensitive columns from printheader from unanonymized data in DataPreparation to avoid leak over jupyter notebook output
  • Issue#1cateagle2024-05-30 21:03
    replace depreciated date_parser in RawDataImporter
  • Issue#10cateagle2024-05-25 17:04
    remove sensitive columns from printheader from unanonymized data in DataPreparation to avoid leak over jupyter notebook output
  • Issue#9cateagle2024-05-25 17:03
    do exploratory data analysis with the real data
  • Issue#8cateagle2024-05-25 17:02
    Create category structure from anamnesis in real data
  • Issue#7cateagle2024-05-25 17:02
    create a baseline model
  • Issue#6cateagle2024-05-25 17:02
    Do documentation for the data preparation
  • Issue#5cateagle2024-05-25 17:02
    Write code for data cleaning for the real data
  • Issue#4cateagle2024-05-25 17:02
    Wait for real data
  • Issue#3cateagle2024-05-25 17:02
    Research 3 papers with similar machine learning tasks
  • Issue#2cateagle2024-05-25 17:02
    fix one hot encoding method in DataChanger
  • Issue#1cateagle2024-05-25 17:01
    replace depreciated date_parser in RawDataImporter

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.