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Dibyajyoti-08/ML_Classification

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active 2024-10-252024-11-03 (UTC)

Complete coverage26,601 / 26,601 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
32
Pushes
12
Pull requests
12
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 10 days from 2024-10-25 to 2024-11-03. Pushes: 12 total, peak 3 in a day. Pull requests: 12 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 5 total, peak 1 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
Dibyajyoti-082412120
coderabbitai[bot]5005

Recent activity

Latest issues, pull requests and releases

  • Pull request#6Dibyajyoti-082024-11-03 15:25
  • Issue comment#6coderabbitai[bot]2024-11-03 15:25
    Add new Random Forest classifier
  • Pull request#6Dibyajyoti-082024-11-03 15:25
  • Pull request#5Dibyajyoti-082024-11-02 16:21
  • Issue comment#5coderabbitai[bot]2024-11-02 16:21
    New pull request for adding Decision Tree classifier
  • Pull request#5Dibyajyoti-082024-11-02 16:21
  • Pull request#4Dibyajyoti-082024-11-01 07:52
  • Issue comment#4coderabbitai[bot]2024-11-01 07:52
    Add new Naive Bayes classification
  • Pull request#4Dibyajyoti-082024-11-01 07:52
  • Pull request#3Dibyajyoti-082024-10-29 17:37
  • Pull request#3Dibyajyoti-082024-10-29 17:37
  • Pull request#2Dibyajyoti-082024-10-27 12:55
  • Issue comment#2coderabbitai[bot]2024-10-27 12:54
    Change description of logistic regression model, and new K-NN classif…
  • Pull request#2Dibyajyoti-082024-10-27 12:54
  • Pull request#1Dibyajyoti-082024-10-25 16:46
  • Issue comment#1coderabbitai[bot]2024-10-25 16:45
    Add Logistic Regression
  • Pull request#1Dibyajyoti-082024-10-25 16:45

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.