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bureau_teamspirit

cardiovascular-disease-prediction

Cardiovascular diseases (CVDs) are the number #1 cause of death globally, taking an estimated 17.9 million lives each year. This project focuses on retrieving the most accurate Machine learning model using Azure ML Studio tools like AutoML and Hyperdrive Configuration, which can be then deployed and tested. We also retrieve an ONNX model and test it.

digits-automated-speech-recognition

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

nlp-digits-automated-speech-recognition

operationalizing-machine-learning

The project aims at Operationalizing Machine Learning using Azure ML studio. In this, we create, deploy and consume an AutoML model and also create, publish and consume a Machine Learning Pipeline using Azure

optimizing-a-machine-learning-pipeline-using-azure

This project aims at Optimizing Machine Learning Pipelines using Azure ML Studio. In this, we use the Bank-Marketing Dataset to 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.

vftvk-simple-interest-calculator