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HasanTahir248/Customer-Segmentation-Using-Clustering

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Used clustering algorithms to segment customers based on their spending behavior, age, income, and preferences. A customer segmentation system that helps businesses understand different groups of customers based on spending patterns and demographics.

active 2025-03-18 → 2025-03-22 (UTC)

Complete coverage28,161 / 28,161 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-31 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 5 days from 2025-03-18 to 2025-03-22. Pushes: 1 total, peak 1 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
HasanTahir2481100

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.