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sayedgamal99/Predicting-Bank-Customer-Churn-using-Machine-Learning

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This repository contains a machine learning project aimed at predicting whether a bank customer will churn (close their account) based on various features such as credit score, age, tenure, account balance, and product usage.

active 2024-11-172024-12-14 (UTC)

Complete coverage26,440 / 26,440 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
25
Pushes
19
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 28 days from 2024-11-17 to 2024-12-14. Pushes: 19 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: 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
sayedgamal99191900

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.