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Build and Deploy ML Models with Amazon Sagemaker

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Time-saving: SageMaker automates many of the tasks, by creating a pipeline starting from data preparation and ML model training, which saves time and resources. Data Flow – A data flow allows you to specify a series of steps for preparing data for machine learning.

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20+ Data Engineering Projects for Beginners with Source Code

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Create a service account on GCP and download Google Cloud SDK(Software developer kit). Then, Python software and all other dependencies are downloaded and connected to the GCP account for other processes. Before the final recommendation is made, a complex data pipeline brings data from many sources to the recommendation engine.

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Data Analyst Interview Questions to prepare for in 2023

ProjectPro

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. Name some data analysis tools that you have worked with.