Narrow the gap between research and production 😎

This is the final capstone project for Udacity Nano Degree Machine Learning Engineer with Microsoft Azure

Udacity Project: Operationalizing Machine Learning

Capstone project for pursuing "Audacity's Machine Learning Engineering with Microsoft Azure Nanodegree". This project is about of predicting the risk to died in circunstances related to homicides in El Salvador

Azure ML + Darknet for YOLOv4

Anomaly-based intrusion detection in computer networks using supervised machine learning

Microsoft Internship Program: During this Internship, I have worked on projects related to some of the machine learning algorithms. And deployed the model using Microsoft Azure.

Azure ML workspace with private endpoints

Dentro del proceso de la ciencia de datos, la limpieza de datos suele ser la etapa que más tiempo consume. A menos que sea necesario por limitaciones físicas, completar toda esta tarea con computo en la nube puede ser una vía poco económica a comparación de hacerlo on-premise. En esta ocasión, aprenderemos como hacerlo a través de un simple ejem…

FineTune Microsoft Phi-2 with your own data

Simple MLOps template for real time model deployments using Azure Machine Learning and Azure DevOps

This repository has files, labs exercises and projects from Udacity's Machine Learning Engineer with Microsoft Azure nanodegree.

A repo focused on highlighting drift concepts as part of the MLOps process.

Azure Machine Learning Classification Model with PythonSDK as Real-Time Inferencing Service

This hands-on walks you through fine-tuning an open source LLM on Azure and serving the fine-tuned model on Azure. It is intended for Data Scientists and ML engineers who have experience with fine-tuning but are unfamiliar with Azure ML.

In this project, we create an AutoML experiment, deploy the best model and evaluate its endpoint by consuming it. We also explore the stability and performance of the endpoint by enabling the logs and benchmarking the endpoint.

Azure ML + Power App Solution sample and walkthrough to complement the Azure Architecture Centre reference pattern

In this project we use Microsoft Azure to configure and deploy a cloud based Machine Learning model. We also see how to create, publish and consume a pipeline using Azure SDK.

A repo that shows how to use Azure Machine Learning with Azure Files NFS

this repository is to visualize swagger.json by swagger UI.