Pulse
2026-09-18-v3.0
Dataset
2026-10-27-catalog-ai-v2
Ruleset
b2e8889c66f7
Scanned
2026-10-27
Window
February–September 15, 2026
Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.

tkarim45/Beginner-Data-Science-Projects ↗

tkarim45/Beginner-Data-Science-Projects AI coding statistics: 64.6%

of 96 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
Too little recent activity to publish. Only 96 commits landed in this window, so the percentage is noisy. Repositories below 100 are excluded from the index for this reason.
64.6% agent · top contributor 91.9%2 contributors
individual

One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.

62
agent commits
34
other considered commits
2
agent contributors
91.9%
largest contributor

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

57assisted
5autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-033.8%26
2026-0466.7%9
2026-05100%36
2026-0669.2%13
2026-0783.3%12

Peak month: 100%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic5759.4%
GitHub CopilotGitHub55.2%

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

  • 531609b0 on GitHubComplete remaining Computer Vision projects (Mask, Hand Gesture, Vehicle CClaude Code
  • 05fabbb6 on GitHubFix docs gaps: complete All Projects table, add missing README, fix labelsClaude Code
  • 3b802736 on GitHubAdd 5 more Computer Vision projects (Traffic Sign, Dog vs Cat, Emotion, PnClaude Code
  • 3968d757 on GitHubConvert image to RGB in predict before applying transformGitHub Copilot
  • 92dc6ebf on GitHubfix: add empty-upload guard in predict() and remove dead gr.InterfaceGitHub Copilot
  • 544c4811 on GitHubfix: use __file__-relative paths for class_names.json and model weightsGitHub Copilot

What entered the denominator

The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.

Exclusion ledger

Commits in window103
Merge commits removed−7
CI / dependency bots removed−0
Considered96

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Reproduce this observation

Run the same detector locally.

Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.

npx qmmit-cli tkarim45/Beginner-Data-Science-Projects

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