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The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.
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The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.
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This big data project focuses on solving the small file problem to optimize data processing efficiency by leveraging Apache Hadoop and Spark within AWS EMR by implementing and demonstrating effective techniques for handling large numbers of small files.
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In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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In this AWS MLOps project, you will learn how to deploy a classification model using Flask on AWS.
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In this MLOps SBERT project you will learn to build and deploy an accurate and scalable search algorithm on AWS using SBERT and ANNOY to enhance search relevancy in news articles.
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