tanujjain/deploy-ml-model
Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
This project helps machine learning engineers or data scientists deploy their trained machine learning models as a web service. It takes a pickled model file and wraps it in a Flask application, then containerizes it with Docker. The output is a functional web endpoint that can be queried to get predictions from the model.
No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking for a basic, self-contained way to serve your trained models.
Not ideal if you need a production-grade, highly scalable, or managed deployment solution with advanced features.
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81
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71
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 14, 2019
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