https://github.com/suegk/build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker

https://github.com/suegk/build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/suegk/build-a-ml-workflow-for-scones-unlimited-on-amazon-sagemaker
• Owner: SueGK
• Created: 2023-02-08T18:51:04.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-18T14:31:02.000Z (10 months ago)
• Last Synced: 2024-03-18T16:03:09.436Z (10 months ago)
• Language: HTML
• Size: 992 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker

## Project

### Overview

This project aimed to create and deploy an image classification model for Scones Unlimited using AWS SageMaker. Key components include a Jupyter notebook demonstrating the ML workflow, Lambda functions for tasks like data serialization and inference, and a Step Functions workflow to automate ML processes. The project utilizes Python 3, AWS Lambda functions, and Step Functions for workflow automation.

**1. `starter.ipynb`:** Jupyter notebook showcases a machine learning working workflow for Image Classification.

Step 1: Data staging

Step 2: Model training and deployment

Step 3: Lambdas and step function workflow

Step 4: Testing and evaluation

Step 5: Cleanup cloud resources

**2. `starter.html`:** Web-page displaying 'starter.ipynb'



**3. `Lambda.py` script:** `compilation of the necessary 'lambda.py' scripts used by three AWS Lambda functions to create a Step Functions workflow`. (*Note: The 'lambda.py' file typically has a 'lambda_handler' function, which acts as the entry point for the Lambda function when it is triggered by an event such as an HTTP request or a scheduled cron job. This function takes an 'event' object, which contains information about the triggering event and a 'context' object, which contains information about the current execution environment. The 'lambda_handler' function is where the main logic of the Lambda function is executed, it can interact with other AWS services, perform calculations or process data. The function can also return a response to the service or client that triggered the Lambda function.)*



**4. `stepfunctions_graph.png`:** screen capture of working step function. 



![](stepfunctions_graph.png)

**5. `stepfunctions_json.json`:** Step Function exported to JSON