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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 spark project, we will continue building the data warehouse from the previous project Yelp Data Processing Using Spark And Hive Part 1 and will do further data processing to develop diverse data products.
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In this Azure Data Engineering Project, you will learn how to build a real-time streaming platform using Azure Stream Analytics, Azure Event Hub, and Azure SQL database.
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Loan Default Prediction Project that employs sophisticated machine learning models, such as XGBoost and Random Forest and delves deep into the realm of Explainable AI, ensuring every prediction is transparent and understandable.
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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 NLP Project, you will learn to build a multi class text classification model with attention mechanism.
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