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Cill19/Customer-Behavior-Analysis-using-Decision-Tree

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This project performs an in-depth analysis of customer behavior using a decision tree classification model. The dataset includes various customer attributes such as demographics, interests, platform usage, and income. The objective of the project is to explore customer patterns and predict outcomes based on their behaviors.

active 2025-01-082025-01-08 (UTC)

Complete coverage26,674 / 26,674 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-01-08 to 2025-01-08. Pushes: 3 total, peak 3 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: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Cill193300

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