https://github.com/airdac/sim-telco_customer_churn

Prediction of customer churn with logistic regression in R. Team project from UPC's Master's Degree in Data Science
https://github.com/airdac/sim-telco_customer_churn

classification data-analysis data-science logistic-regression r statistical-models upc

Last synced: about 1 month ago
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Prediction of customer churn with logistic regression in R. Team project from UPC's Master's Degree in Data Science

• Host: GitHub
• URL: https://github.com/airdac/sim-telco_customer_churn
• Owner: airdac
• Created: 2023-12-02T17:17:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-03T17:15:39.000Z (about 1 year ago)
• Last Synced: 2024-11-14T23:32:32.793Z (3 months ago)
• Topics: classification, data-analysis, data-science, logistic-regression, r, statistical-models, upc
• Language: R
• Homepage:
• Size: 23.2 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.txt

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README

        
This folder contains two files:

1. AdriàCasanova-VíctorGarcia-ZhengyongJi.Rmd

	This Rmarkdown file generates the report of the assignment.

2. profiling_func.R

	An R file containing a function we have used in AdriàCasanova-VíctorGarcia-ZhengyongJi.Rmd to profile the target. Therefore, to execute the previous file, this file has to be in the working directory of the R session,