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In this GCP project, you will learn to build and deploy a fully-managed(serverless) event-driven data pipeline on GCP using services like Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable
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In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Apache Kafka and AWS Redshift
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Use Spark , Grafana, and InfluxDB to build a real-time e-commerce users analytics dashboard by consuming different events such as user clicks, orders, demographics
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Image Processing Project -Train a model for colorization to make grayscale images colorful using convolutional autoencoders.
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Microsoft Azure Project - Use Azure text analytics cognitive service to deploy a machine learning model into Azure Databricks
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Loan Eligibility Prediction Project - Use SQL and Python to build a predictive model on GCP to determine whether an application requesting loan is eligible or not.
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