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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 Big Data Project, you will learn to implement PySpark Partitioning Best Practices.
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In this AWS Big Data Project, you will use an eCommerce dataset to simulate the logs of user purchases, product views, cart history, and the user’s journey to build batch and real-time pipelines.
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In this Deep Learning Project, you will learn how to build a siamese neural network with Keras and Tensorflow for Image Similarity.
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In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.
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Identifying the ROI on marketing campaigns is an essential KPI for any business. In this ML project, you will learn to build a Multi Touch Attribution Model in Python to identify the ROI of various marketing efforts and their impact on conversions or sales..
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