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GitHub / Ashleshk / Practical-Data-Science-on-the-AWS-Cloud-Specialization

@DeepLearning.AI Practical Data Science Specialization brings together these disciplines using purpose-built ML tools in the AWS cloud. It has helped me to develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ashleshk%2FPractical-Data-Science-on-the-AWS-Cloud-Specialization

Stars: 3
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 7.39 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago

Topics: amazon-sagemaker, amazon-sagemaker-lab, aws-cloudwatch, aws-hyperparameter, aws-s3, ml, mlops, sagemaker

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