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emr4h/Malware-Detection-Using-Machine-Learning

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This project analyzes PE information of exe files to detect malware. In this repository you will learn how to create your own dataset and will be able to see the use of machine learning models using the dataset. We will use machine learning for detect malware.

active 2023-12-21 → 2025-04-10 (UTC)

Complete coverage27,430 / 27,430 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-30 (UTC)
Events
14
Pushes
0
Pull requests
0
Issues
0
Stars
11
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 477 days from 2023-12-21 to 2025-04-10. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 11 total, peak 1 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

Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 11 stars here means stars gained during the window, not the repo's star count.