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Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.
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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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Get Started with Object Tracking using OpenCV and Python - Learn to implement Multiple Instance Learning Tracker (MIL) algorithm, Generic Object Tracking Using Regression Networks Tracker (GOTURN) algorithm, Kernelized Correlation Filters Tracker (KCF) algorithm, Tracking, Learning, Detection Tracker (TLD) algorithm for single and multiple object tracking from various video clips.
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Build and Deploy a Multiple Linear Regression Model in Python on AWS
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In this project, we are going to talk about insurance forecast by using linear and xgboost regression techniques.
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