kittupriyatham/Machine-Learning-Model-Deployment
This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.
This project helps machine learning engineers and data scientists deploy an Iris classification model into a web application. It takes a pre-trained machine learning model and presents its predictions through a basic web interface. The output is a functional web application hosted on Azure, accessible to end-users for making predictions.
No commits in the last 6 months.
Use this if you are a developer looking for a straightforward example of how to take a simple machine learning model and deploy it as a web service on Azure App Service.
Not ideal if you are looking for a robust, production-ready machine learning operations (MLOps) solution with advanced monitoring, scaling, or complex data pipelines.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 31, 2024
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