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Build and Deploy ML Models with Amazon Sagemaker

ProjectPro

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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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. Utilize Amazon S3 for storing data, Hive for data preprocessing, and Zeppelin notebooks for displaying trends and analysis. Understand the importance of Qubole in powering up Hadoop and Notebooks.

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Data Analyst Interview Questions to prepare for in 2023

ProjectPro

As data analysts salaries continue to rise with the entry-level data analyst earning an average of $50,000-$75,000 and experienced data analyst salary ranging from $65,000-$110,000, many IT professionals are embarking on a career as a Data analyst. How to save and reload a deep learning model in Pytorch?