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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 Python and MongoDB Project for Beginners, you will learn how to use Apache Sedona and perform advanced analysis on the Transportation dataset.
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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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In this machine learning project, you will learn how to load, fine tune and evaluate various transformer models for text classification tasks.
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Learn to implement various ensemble techniques to predict license status for a given business.
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In this Machine Learning Project, you will learn how to build a simple linear regression model in PyTorch to predict the number of days subscribed.
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