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active 2023-10-31 → 2024-08-27 (UTC) · 45 repositories

Complete coverage28,050 / 28,050 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
281
Pushes
145
Pull requests
93
Issues
0
Reviews
0
Repositories
45

Activity over time

Daily event counts in the loaded window

Line chart, 302 days from 2023-10-31 to 2024-08-27. Pushes: 145 total, peak 22 in a day. Pull requests: 93 total, peak 14 in a day. Issues: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues

Repositories worked on

Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list

RepositoryContributionsPushesPRsIssuesCommentsLast seen
K-Pegg/Airline_Data_Project693930002023-11-17
meghana-pakala/NLP-project522527002024-02-01
juved/Vaccines-Project462620002024-01-22
RigatN/Winning_Movie_Genres_for_New_Studios281711002023-12-08
RigatN/Cinematic_Returns-_Unveiling_the_Art_and_Science_of_Movie_Profitability1394002024-01-22
K-Pegg/Nose_Knows12120002024-03-08
K-Pegg/Coffee_Shop_BI220002024-08-27
K-Pegg/NTL-DS-103023220002023-11-09
K-Pegg/dsc-logistic-regression-lab220002023-12-20
K-Pegg/dsc-nonparametric-models-lab110002024-08-27
K-Pegg/dsc-xgboost-lab110002024-08-27
flatiron-school/Git-Practice-DS-103023101002023-11-01
K-Pegg/dsc-nlp-lab110002024-08-27
K-Pegg/dsc-pandas-eda-lab110002023-11-12
K-Pegg/dsc-sklearn-preprocessing-lab110002023-12-14
K-Pegg/dsc-pandas-data-cleaning-lab110002023-11-12
K-Pegg/Filtering-Lab-SQL110002023-11-22
K-Pegg/dsc-ml-fundamentals-lab110002023-12-15
K-Pegg/dsc-data-serialization-lab110002023-11-12
K-Pegg/SQL-Lab-1110002023-11-21
K-Pegg/dsc-multiple-regression-cumulative-lab110002023-12-11
K-Pegg/git_practice000002023-11-01
K-Pegg/Vaccines-Project000002024-03-08
learn-co-curriculum/dsc-running-jupyter-locally-lab000002023-11-02
K-Pegg/Cinematic_Returns-_Unveiling_the_Art_and_Science_of_Movie_Profitability000002024-03-08
learn-co-curriculum/dsc-introduction-to-neural-networks-lab000002024-02-01
learn-co-curriculum/dsc-sklearn-preprocessing-lab000002023-12-14
learn-co-curriculum/dsc-project-template000002023-12-08
learn-co-curriculum/dsc-multiple-regression-cumulative-lab000002023-12-11
K-Pegg/Sentiment_Signals000002024-03-08
flatiron-school/NTL-DS-103023000002023-10-31
learn-co-curriculum/dsc-nonparametric-models-lab000002024-01-08
learn-co-curriculum/dsc-sql-lab000002023-11-21
learn-co-curriculum/dsc-data-serialization-lab000002023-11-02
K-Pegg/Charting-New-Heights000002024-03-08
learn-co-curriculum/dsc-market-segmentation-clustering-lab000002024-01-14
learn-co-curriculum/dsc-filtering-lab-v2-4000002023-11-22
learn-co-curriculum/dsc-ml-fundamentals-lab000002023-12-15
learn-co-curriculum/dsc-dimensionality-reduction-lab000002024-01-14
learn-co-curriculum/dsc-nlp-lab000002024-01-12
learn-co-curriculum/dsc-pandas-eda-lab000002023-11-11
learn-co-curriculum/dsc-hypothesis-testing-lab000002023-11-28
learn-co-curriculum/dsc-xgboost-lab000002024-01-09
learn-co-curriculum/dsc-pandas-data-cleaning-lab000002023-11-07
learn-co-curriculum/dsc-logistic-regression-lab000002023-12-19

Works with

People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone

Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.