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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 data analytics project, you will use AWS Neptune graph database and Gremlin query language to analyse various performance metrics of flights.
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In this Azure Databricks Project, you will learn to use Azure Databricks, Event Hubs, and Snowflake to process and analyze real-time data, specifically in monitoring IoT devices.
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In this AWS Snowflake project, you will build an end to end retraining pipeline by checking Data and Model Drift and learn how to redeploy the model if needed
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In this deep learning project, you will learn how to perform various operations on the building block of PyTorch : Tensors.
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In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.
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