This project aims to identify the factors contributing to customer churn in a fictional California-based telecommunications company. By analyzing a comprehensive dataset of 7,043 customer records from Q3, we seek to create predictive models that forecast customer behavior and predict which customers are at risk of churning.
The dataset consists of five datasets containing information about demographics, location, population, services, and status of the Telco customers. It includes a wide range of features, such as customer demographics, service usage patterns, and geographic information.
This data is part of the Base Samples that are available in IBM Cognos Analytics. Downloaded from: Telecommunications Industry Sample Data