Code for a Shiny app calculatiing cost/revenue for churn prevention
-
Updated
Apr 29, 2021 - R
Code for a Shiny app calculatiing cost/revenue for churn prevention
Customer churn rate is an important metric for e-commerce businesses. Predicting whether someone will churn or not would be great...
Developed a desktop application, that uses ML algorithms to accurately predict customer churn based on customer details. The application helps to identify customers at risk of churning using regression models.
This is a data mining project done mainly on SAS Miner.
Progetto Web Marketing and Communication Management
In this case study we will predict that whether a particular customer of a telecom company will churn or not based on the demographic data and churn data.
Analyze IBM Telco Customer data to offer valuable insights for data-driven decision-making on customer retention to reduce churn
Customer Churn Analysis using R & RStudio
The projects completed and in pipeline
Add a description, image, and links to the churn-analysis topic page so that developers can more easily learn about it.
To associate your repository with the churn-analysis topic, visit your repo's landing page and select "manage topics."