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Preventing churn is key to improving revenue for Sparkify, a subscription-based company (fictitious). This project is to analyze data from Sparkify to build a model to predict user churn. First, a sample dataset (128MB) was used on a local machine to explore relevant features and develop a working model. Then similar steps were used to develop a final working model for the full dataset(12GB) on the AWS cloud.

Home Page: https://medium.com/@ustcdj/sparkify-udacity-data-science-capstone-project-b273b4ab1c8d

License: MIT License

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aws emr-cluster machine-learning-algorithms music-streaming spark

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