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dlab-berkeley/Python-Machine-Learning

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D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

active 2023-10-02 → 2026-02-07 (UTC)

Complete coverage27,321 / 27,321 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-26 (UTC)
Events
101
Pushes
7
Pull requests
12
Issues
29
Stars
22
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 860 days from 2023-10-02 to 2026-02-07. Pushes: 7 total, peak 2 in a day. Pull requests: 12 total, peak 2 in a day. Issues: 29 total, peak 11 in a day. Comments: 9 total, peak 5 in a day. Stars: 22 total, peak 5 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
pssachdeva25325
leahhrlee7001
tomvannuenen7250
fmohebi4000
brunosmaniotto3110
Severrinn3120
jellomoat2001
ruijis1010
mquintus1010
surajrn1000
lenjb1000
vhollingshead1001
paigenpark1001

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 22 stars here means stars gained during the window, not the repo's star count.