GitHub / GauravG-20 / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GauravG-20%2FUdacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
PURL: pkg:github/GauravG-20/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: HTML
Size: 1.11 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: over 1 year ago
Pushed at: almost 2 years ago
Last synced at: 2 months ago
Topics: aws, aws-endpoint, aws-lambda, aws-s3, aws-sagemaker, aws-state-machine, json, jupyter-notebook, model-inference, python, sagemaker-deployment, sagemaker-studio, udacity-machine-learning-fundamentals, udacity-nanodegree, udacity-scholarship-course