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1. Using Spark core, Spark SQL, Spark R and Spark structured streaming for Machine Learning, Data Science and Data Analytics with end to end examples.

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3. All topics related with Redshift like ingestion, table design, performance tuning use cases

4. Using AWS Sagemaker for Machine Learning

5. Forked from MIT-LCP/mimic-code

   MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

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6. This repository contains ETL scripts by using AWS StepFunctions, AWS Glue, Athena and RedshiftSpectrum