This is the final capstone project for Udacity Nano Degree Machine Learning Engineer with Microsoft Azure
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Updated
Jan 28, 2021 - Jupyter Notebook
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
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.
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…
This repository has files, labs exercises and projects from Udacity's Machine Learning Engineer with Microsoft Azure nanodegree.
Azure Machine Learning Classification Model with PythonSDK as Real-Time Inferencing Service
Azure ML + Power App Solution sample and walkthrough to complement the Azure Architecture Centre reference pattern
Udacity Azure ML Nanodegree - Assignment 1
Simple MLOps template for batch scoring using Azure Machine Learning and Azure DevOps
This is first of the three projects required for fulfillment of the Nanodegree Machine Learning Engineer with Microsoft Azure from Udacity. In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run.
Deploy huggingface model on azure ml studio using azure portal
build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to a model from Azure AutoML
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