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ML Model Deployment

A very basic example on how to deploy your Machine Learning models.

The example uses the Iris Dataset. For deployments Flask and tornado libraries are used.

Install required libraries

pip install -r requirements.txt

Training the model

python train_model.py

Starting the server

Flask

python flask_server.py

Tornado

python tornado_server.py

Send Requests to server

python main.py

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Deploying ML model using tornado or flask.

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