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Build a Real-Time Streaming Data Pipeline for an application that monitors oil wells using Apache Spark, HBase and Apache Phoenix .
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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 PySpark Project, you will learn to implement regression machine learning models in SparkMLlib.
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In this Classification Machine Learning Project, you will build a multi-level classification model to predict churn category and reason in the telecom industry, enabling proactive measures to reduce customer churn and enhance retention.
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In this deep learning project, you will learn how to build PyTorch neural networks from scratch.
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MLOps on AWS SageMaker -Learn to Build an End-to-End Classification Model on SageMaker to predict a patient’s cause of death.
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A comprehensive guide on LLama2 architecture, applications, fine-tuning, tokenization, and implementation in Python.
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