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Este proyecto tiene como objetivo mejorar la retención de clientes de una empresa de telecomunicaciones, identificando aquellos con mayor probabilidad de abandonar el servicio (Churn). Para ello, se llevará a cabo la limpieza y preparación de un conjunto de datos destinado al entrenamiento de un modelo predictivo de Churn.

active 2024-09-252024-09-25 (UTC)

Complete coverage26,524 / 26,524 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (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, 1 days from 2024-09-25 to 2024-09-25. 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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  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
civvic11100

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.