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PyTch18/Intrusion-Detection

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The objective of this task is to discover the data that is to be used for intrusion prediction. The discovery aims at gaining an understanding of the data and gaining a visual insight into the data. The objective is to understand which fields re more relevant in the prediction and to understand the relation between these fields.

active 2024-10-02 → 2024-12-22 (UTC)

Complete coverage27,486 / 27,486 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-03 (UTC)
Events
52
Pushes
44
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 82 days from 2024-10-02 to 2024-12-22. Pushes: 44 total, peak 6 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: 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
PyTch18383800
CasuallyC0ding4400
DevStrider2200

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 — 1 stars here means stars gained during the window, not the repo's star count.