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adubrightkwartengsnr/LP2-Telecom_Customer_Churn_Prediction_Classification

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This project repo consists of all the materials used for customer churn prediction, a machine learning binary classification to predict whether a customer in a telecommunication company will churn or not

active 2024-03-27 → 2024-04-21 (UTC)

Complete coverage27,226 / 27,228 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-22 (UTC)
Events
40
Pushes
12
Pull requests
17
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 26 days from 2024-03-27 to 2024-04-21. Pushes: 12 total, peak 4 in a day. Pull requests: 17 total, peak 6 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
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
adubrightkwartengsnr2912170

Recent activity

Latest issues, pull requests and releases

  • Pull request#9adubrightkwartengsnr2024-04-21 19:24
  • Pull request#9adubrightkwartengsnr2024-04-21 19:24
  • Pull request#8adubrightkwartengsnr2024-04-18 17:48
  • Pull request#7adubrightkwartengsnr2024-04-18 17:47
  • Pull request#7adubrightkwartengsnr2024-04-18 17:45
  • Pull request#6adubrightkwartengsnr2024-04-17 16:43
  • Pull request#6adubrightkwartengsnr2024-04-17 16:43
  • Pull request#5adubrightkwartengsnr2024-04-03 18:21
  • Pull request#5adubrightkwartengsnr2024-04-03 18:19
  • Pull request#4adubrightkwartengsnr2024-03-30 06:50
  • Pull request#4adubrightkwartengsnr2024-03-30 06:50
  • Pull request#3adubrightkwartengsnr2024-03-30 06:44
  • Pull request#3adubrightkwartengsnr2024-03-30 06:44
  • Pull request#2adubrightkwartengsnr2024-03-30 06:43
  • Pull request#2adubrightkwartengsnr2024-03-30 06:43
  • Pull request#1adubrightkwartengsnr2024-03-29 15:05
  • Pull request#1adubrightkwartengsnr2024-03-29 15:04

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.