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atish41/Customer_Churn_Prediction

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In telecom firm there are churns, because of them telecom industry losses big number customers and business. To reduce the churn we build the model to predict the customers activity and services which customers going to be subscribe in future.

active 2023-08-162023-08-18 (UTC)

Complete coverage27,248 / 27,251 hourly files (100%) · 2 absent upstream2023-08-152026-09-23 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 3 days from 2023-08-16 to 2023-08-18. 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: 0 total, peak 0 in a day.

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  • Pull requests
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  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
atish411100

Recent activity

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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.