This project includes a data asset and jupyter notebooks to prepare the data, build machine learning model, deploy the model on AWS Sagemaker and monitor the quality and performance of the deployed model using Watson OpenScale. Your data scientists can use the sample notebook and predictive model to identify those customers who are most likely to enroll in the Demand Response Program allows your business users or marketers to focus on these prospects.

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