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In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
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In this GCP Project, you will learn to build a data pipeline using Apache Beam Python on Google Dataflow.
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IoT-based Data Migration Project using AWS DMS and Aurora Postgres aims to migrate real-time IoT-based data from an MySQL database to the AWS cloud.
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In this MLOps Azure project, you will learn how to deploy a classification machine learning model to predict the customer's license status on Azure through scalable CI/CD ML pipelines.
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In this Deep Learning Project, you will leverage transfer learning from Nvidia QuartzNet pre-trained models to develop a speech-to-text transcriptor.
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Use the Adult Income dataset to predict whether income exceeds 50K yr based oncensus data.
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