Deploy Python Codes with Azure Functions

Azure Functions are code triggered events that scale well owing to their serverless capabilities. The triggering mechanisms are diverse

Azure Functions are code triggered events that scale well owing to their serverless capabilities. The triggering mechanisms are diverse — time based (CRON functions), http, storage triggers (blob, queue) etc. Functions are also unique in that they can be coded in a variety of languages like C#, Python, Javascript etc. In this article, I will be demonstrating a simple ML python script that is triggered using Azure functions using VS code. You can check my git repo here.

Requirements:

• VS Code with Azure extensions loaded
• Azure subscription (free credits available)
• Azure function CLI installed. Please follow https://docs.microsoft.com/en-us/azure/azure-functions/functions-run-local?tabs=windows%2Ccsharp%2Cbash
• A pickled ML model. Here I have picked a simple model that uses a regression algorithm to predict the price of a piece of real estate based on factors like age of the building, the distance from the city, the number of stores around the place, latitude and longitude. The focus has been on the implementation of the model in Azure functions and not the accuracy of the model itself.

azure-functions machine-learning python

In a series of blog posts, I am planning to write down my experiences of training, deploying and managing models and running pipelines with Azure Machine Learning Service.

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

In simple terms, Machine Learning uses some set of algorithms to learn different examples of similar data to perform a specific task for a particular domain.