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Implementation of most commonly used machine learning algorithms

active 2023-10-142024-01-03 (UTC)

Complete coverage26,602 / 26,602 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
22
Pushes
2
Pull requests
4
Issues
2
Stars
1
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 82 days from 2023-10-14 to 2024-01-03. Pushes: 2 total, peak 1 in a day. Pull requests: 4 total, peak 1 in a day. Issues: 2 total, peak 1 in a day. Comments: 11 total, peak 4 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
Bhasfe11225
jainriya94013
shruti-24123012
SaabriinMo1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#6SaabriinMo2024-01-03 19:15
    Linear Discriminant Analysis
  • Issue comment#10jainriya92023-10-22 18:02
    K-means algorithm (Customer Segmentation) Issue#1
  • Issue#1Bhasfe2023-10-22 17:57
    K-means algorithm
  • Issue comment#1Bhasfe2023-10-22 17:57
    K-means algorithm
  • Pull request#10Bhasfe2023-10-22 17:56
  • Issue comment#10Bhasfe2023-10-22 17:56
    K-means algorithm (Customer Segmentation) Issue#1
  • Issue comment#1jainriya92023-10-21 20:04
    K-means algorithm
  • Pull request#10jainriya92023-10-21 20:03
  • Issue comment#1Bhasfe2023-10-18 13:09
    K-means algorithm
  • Issue comment#9shruti-24122023-10-18 12:16
    Apriori Added
  • Issue comment#1jainriya92023-10-18 11:58
    K-means algorithm
  • Issue#7Bhasfe2023-10-18 09:58
    Apriori Algorithm
  • Pull request#9Bhasfe2023-10-18 09:58
  • Issue comment#9Bhasfe2023-10-18 09:57
    Apriori Added
  • Pull request#9shruti-24122023-10-17 13:57
  • Issue comment#7Bhasfe2023-10-17 08:13
    Apriori Algorithm
  • Issue comment#7shruti-24122023-10-14 08:29
    Apriori Algorithm

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.