DevOps Articles

Build a Churn Detection Train with AI Blueprints

My first https://cnvrg.io/recommendation-system/ went over the types of recommendation systems and how to create a recommendation system using a Blueprint without writing model code. AI Blueprints can not only be used to create recommendation systems but can also be used for https://cnvrg.io/twitter-sentiment-analysis/, https://cnvrg.io/webinars-and-workshops/build-ocr-text-detection-application/, anomaly detection and more. This particular tutorial dives into what customer churn is and how to use AI Blueprints to clean and validate data in order to train multiple models to predict if a customer is likely to churn or not. Customer churn can be defined as the percentage of customers who have stopped using a company’s product during a specified time.

Before creating a customer churn predictor, it is important to take a step back and briefly mention the types of AI blueprints.