customer-attrition
There are 3 repositories under customer-attrition topic.
rdev12/Customer-Attrition-Prediction
Based on data such as general bio-data, payment history, and subscriptions, this stacking-ensemble model predicts whether a customer continues to use the service or not (attrition) with an accuracy of 83.14%
ahmrz/customer-attrition-dashboard
An Interactive Dashboard for Predicting Bank Customer Attrition
kumaranurag7/Telecom-churn-prediction
Customer churn, also known as customer attrition, customer turnover, or customer defection, is the loss of clients or customers. Telephone service companies, Internet service providers, pay-TV companies, insurance firms, and alarm monitoring services, often use customer attrition analysis and customer attrition rates as one of their key business metrics because the cost of retaining an existing customer is far less than acquiring a new one. Predictive analytics use churn prediction models that predict customer churn by assessing their propensity of risk to churn. Since these models generate a small prioritized list of potential defectors, they are effective at focusing customer retention marketing programs on the subset of the customer base who are most vulnerable to churn. For this project, we will be exploring the dataset of a telecom company and try to predict the customer churn Problem Statement Using the method of Boosting, classify whether or not the customer will churn