HemanthJoseph/ML-Projects-with-Deployment
An end-to-end Machine Learning project from writing a Jupyter notebook to check the viability of the solution, to breaking down the same into modular code, creating a Flask web app integrated with a HTML template to make a website interface, and deploying on AWS and Azure.
This project helps machine learning engineers or data scientists deploy predictive models as web applications without extensive web development experience. It takes raw tabular data and a machine learning model, then outputs a live web interface for making predictions. The ideal user is someone who needs to get a trained machine learning model into the hands of end-users via a simple website.
No commits in the last 6 months.
Use this if you need to quickly get a machine learning model, like one predicting student math scores from various factors, deployed as an interactive web application on cloud platforms like AWS or Azure.
Not ideal if you are looking for advanced web application features, complex user interfaces, or sophisticated MLOps pipelines with continuous integration.
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33
Forks
14
Language
Python
License
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Category
Last pushed
Jul 30, 2023
Commits (30d)
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