https://github.com/chaitanyac22/udacity-aws-mle-nd-project2-build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
https://github.com/chaitanyac22/udacity-aws-mle-nd-project2-build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker
aws aws-ec2 aws-iam aws-lambda aws-s3 aws-sagemaker aws-statemachine aws-step-functions deployment endpoint image-classification json lambda-functions model-evaluation model-inference model-testing python python3 sagemaker-deployment sagemaker-studio
Last synced: 27 days ago
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The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
- Host: GitHub
- URL: https://github.com/chaitanyac22/udacity-aws-mle-nd-project2-build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker
- Owner: ChaitanyaC22
- License: mit
- Created: 2023-01-20T04:13:39.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-24T12:50:09.000Z (about 2 years ago)
- Last Synced: 2025-02-01T12:13:19.672Z (3 months ago)
- Topics: aws, aws-ec2, aws-iam, aws-lambda, aws-s3, aws-sagemaker, aws-statemachine, aws-step-functions, deployment, endpoint, image-classification, json, lambda-functions, model-evaluation, model-inference, model-testing, python, python3, sagemaker-deployment, sagemaker-studio
- Language: HTML
- Homepage:
- Size: 1.07 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0