Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
GenAIOps with Prompt Flow is a "GenAIOps 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.
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
It is a Thyroid classification app , where we can classify whether the patient having Thyroid or not using some values of given parameters.
Data Science Proyect
Azure AutoML for images - Image classification
End-to-end ML pipeline on Azure Machine Learning for heart disease prediction. Features 4-step automated workflow (data prep, training, evaluation, registration), MLflow experiment tracking, and managed endpoint deployment. Built with Azure ML SDK v2, scikit-learn, and auto-scaling compute clusters.
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.
Developed a web based application for restaurant named "PARADISE"...
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…
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