This project is about churn analysis. Churn, in general, refers to customer’s turnover rate. Customer loss is a huge problem for companies. Because earning new customers is more expensive than keeping current customers. Predicting which customer is going to leave the company is known as "Churn Analysis". So the aim is to predict which customer is going to leave the company and take precautions about it. Our motivation is to automatize this process. A generative model selector generates and evaluates the most successful machine learning model according to given dataset. We also present an analysis with visualisations that gives a better understanding of results. In brief, we are able to analyse various datasets automatically.
The website of the project: https://churn-2537f.firebaseapp.com/
The API of the project: https://github.com/aliihsank/Churn-Analysis-API
