azure-ml

Natural Language Processing Best Practices & Examples

The Unified Model Serving Framework 🍱

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Time Series Forecasting Best Practices & Examples

Get started with Automated Machine Learning (AutoML) and Machine Learning Operations (MLOps) in Azure Machine Learning

Ready to use scoring engines for Image, Text and Time Series

Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS

MLOps samples and docs from real world projects in manufacturing industry

Exemple AutoML avec Azure ML service SDK

Notebooks Python Azure ML service SDK pour préparation et transformation de données

Notebooks de démonstration Azure ML service

Classifying Iris with Decision Forest Algorithm

Notebooks Python autoML forecast avec Azure ML service

An object detection (with Keras and YOLOv3) MLflow example

Projects that Unleash the Power of AI to Solve Real-World Business Challenges

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

A machine learning experiment to predict NHL penalty minutes based on matchups using Azure Machine Learning and automated machine learning

Using Dask-ML on Azure ML

Cloud Workshop La Data Science avec Microsoft Azure

Code for my blog post on deploying a machine learning model with Azure ML Pipelines

Capstone project related to Azure ML Engineer Nanodegree

⚡️ Operationalizing ML Notebook CI/Validation Workflows with Azure DevOps and Azure Functions (MSFT Internship 2019)

Modeling Plasmodium falciparum Diagnostic Test Sensitivity using Machine Learning with Histidine-Rich Protein 2 Variants

Fork of AML MLOps reference architecture for local dev.

Project submission of the first project in the AI Engineer using Microsoft Azure nanodegree - Udacity

Simplifies the fraud detection and reporting process, cutting down the time to action to prevent fraud as well as enables near real-time dashboards and analytics for streaming data.

This repository contains the necessary code to train PyTorch 2D-CNN models in Azure Machine Learning. Hyperspectral Imaging management is done to feed CNN models. When models are trained, their are registered in an Azure Machine Learning workspace, which are then used as a web service using Azure Kubernetes Service. These web service are used to classify brain hyperspectral images from raw images, providing classification maps with labeled tissues.

AIRBNB Predictive analyis

Create and Deploy an ML model using Azure ML Studio and Azure Python SDK.