ghousethanedar/azure-machine-learning-service-sdk-

Azure Machine Learning (Machine Learning Studio, MLOps, Automated Machine Learning, Designer, etc.)

Machine-Learning-with-Azure

Machine Learning with different Azure Services (e.g. PowerBI, Azure Designer, Automated Machine Learning (Interface), Machine Learning Service)

Contents

Recommended Datsets

• Sources: Kaggle: https://www.kaggle.com/ Microsoft: https://azure.microsoft.com/en-us/services/open-datasets/catalog/ Amazon: https://registry.opendata.aws/

• Supervised Learning

  • Classification

  • Regression

  • Forecasting

• Unsupervised Learning

  • Clustering

Prerequisites

• Azure Subscription

If you want to do the whole workshop follow the documentation from 1-5.

Create and deploy a model directly from a notebook:

https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-within-notebook/train-within-notebook.ipynb

Deploying a web service to Azure Kubernetes Service (AKS)

https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/deployment/production-deploy-to-aks/production-deploy-to-aks.ipynb

Content:

• Provisioning Azure Machine Learning Workspace

• Overview of the Machine Learning Studio

• Explore AML SDK

  • https://docs.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py

• Log Descriptive Statistic and Visualisation with AML SDK

• Train Model

• Deploy Model ACI

  • Scoring Script
  • Environment

• Deploy Model AKS

  • Scoring Script
  • Environment

• Prediction (Use Endpoint - SDK, HTTP Request, Postman)