Using LLMS to extract medical Data for Doctors and Hospitals

This repo shows how AML can be used to create pipelines which have multiple steps which are written as python scripts. These steps can be run in parallel or in sequence and you get free monitoring provided by AML platform.

Infrastructure provisioning, compute setup, and model training on Azure Machine Learning Studio.

Administrar Datastores desde Azure Machine Learning Studio o el SDK de Python, es muy sencillo; como en la documentación oficial de Microsoft no hay ejemplos para C#, en esta ocasión lo resolveremos consumiendo la REST API de Azure Machine Learning con nuestro amado lenguaje a través de un flujo de autenticación del tipo client_credentials.

🤖 Approaches to Machine Learning in React Native

Microsoft Azure Machine Learning Studio: Boosted Decision Tree Regression.

Distribution denial of service attack detection using machine-learning

This repository "sensorapp" hosts code and resources for an Azure Machine Learning Studio project dedicated to predicting paper roughness using sensor data. It provides evaluation metrics and a web application for model interaction.

Comparing Machine Learning Algorithms for Credit Risk Analysis in Banking

A binary classification model is deployed in Azure to help financial advisors determine if a loan can be granted or not to a client.

Demonstration showing how to use Azure Machine Learning Studio to predict income levels

A repository containing examples from the course "Getting Started with Azure Machine Learning"

Future Ready Talent Project Submission.Using Azure ML Studio to predict the income of individuals, based on their age, race, education, residence city, etc. Used the adult census dataset

Application to predict students' desertion through the Tree, Neural Networks and Association Rules algorithms, integrated with Azure ML Studio

This is the official repository for the Global AI Bootcamp event organised in Bucharest by Softelligence.

Credit Card Fraud detection system using Kaggle dataset using Azure Automated Machine Learning

This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.

Implementation of Microsoft's Matchbox Recommender trained on MovieLens dataset used in simple React web application to provide movie recommendations.

Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services