Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

Use ML to predict customer churn using tabular time series transactional event data and customer incident data and customer profile data. This deep learning solution leverages hybrid multi-input bidirectional LSTM model and 1DCNN using the Keras functional API. We detail tabular data pre-processing as well as the modeling and deployment with Azure ML Services and Azure Container Instances.