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ETL Orchestration on AWS - Use AWS Glue and Step Functions to fetch source data and glean faster analytical insights on Amazon Redshift Cluster
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In this Azure Databricks Project, you will learn to use Azure Databricks, Event Hubs, and Snowflake to process and analyze real-time data, specifically in monitoring IoT devices.
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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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In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.
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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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MLOps using Kubeflow on GCP - Build and deploy a deep learning model on Google Cloud Platform using Kubeflow pipelines in Python
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