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shafaypro/CrackingMachineLearningInterview

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A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

active 2025-02-162026-06-29 (UTC)

Partial coverage11,846 / 13,224 hourly files (90%) · 2 absent upstream · 1,374 failed, retryable2025-02-052026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
92
Pushes
7
Pull requests
7
Issues
0
Stars
62
Forks
8

Activity over time

Daily event counts in the loaded window

Line chart, 499 days from 2025-02-16 to 2026-06-29. Pushes: 7 total, peak 3 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 62 total, peak 3 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
shafaypro15771

Recent activity

Latest issues, pull requests and releases

  • Pull request#15shafaypro2026-04-10 10:41
  • Pull request#14shafaypro2026-04-10 08:37
  • Pull request#13shafaypro2026-04-06 12:21
  • Pull request#12shafaypro2026-04-06 10:44
  • Pull request#12shafaypro2026-04-05 22:10
  • Issue comment#8shafaypro2026-03-31 15:27
    Added in additional Catalog - Expand cloud ML interview content
  • Pull request#3shafaypro2026-03-28 11:18
  • Pull request#3shafaypro2026-03-27 23:01

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.