Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

This repo has some proposed agenda for Azure Machine Learning related hands-on workshops.

A Repository for the public preview of Responsible AI in AML vNext

Azure ML E2E Lab

Azure Machine Learning CLI V2 in a Day Workshop/Labs.

Sentiment Analysis for Tweets

Azure AI workshops

It is a Thyroid classification app , where we can classify whether the patient having Thyroid or not using some values of given parameters.

Developed a web based application for restaurant named "PARADISE"...

https://gallery.cortanaintelligence.com/Experiment/Covid-19-prediction-two-algos-Predictive-Exp

Build a predictive model using Azure ML Studio. Demonstrate a working knowledge of setting up experiments on Azure ML Studio. Operationalize machine learning workflows with Azure's drag-and-drop modules.

Housing Price Prediction Using Machine Learning.

This GitHub Action allows you to connect to your Workspace.

template repository for azure machine learnings

Examen DP-100: Conception et implémentation d’une solution de science des données sur Azure

In this study Boston House Prices were predicted by using Azure Databricks platform. The data includes the home values of Boston in 1970's. Five of the 14 diverse variables were used for this small study. These are: CRIM - per capita crime rate by town RM - average number of rooms per dwelling TAX - full-value property-tax rate per $10,000 LSTAT…