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Integration with other AWS services: SageMaker integrates seamlessly with other services, such as Amazon Simple Storage Service(S3) and Amazon Elastic Compute Cloud (EC2), making it easy to incorporate machine learning into existing workflow and infrastructure. This library provided by SageMaker is similar in usage to Apache Spark MLLib.

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ProjectPro

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Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc. There are three stages in this real-world data engineering project. The second stage is data preparation.

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The various steps involved in the data analysis process include – Data Exploration – Having identified the business problem, a data analyst has to go through the data provided by the client to analyse the root cause of the problem. How to save and reload a deep learning model in Pytorch?

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