The best way to deploy a Python Machine Learning model is to store your model in a file (many ML libraries provide built-in support for this). Then, you have to create a web server, load the model in the webserver code, and then make predictions and return the result. However, you need to make sure that the webserver code has libraries you need to load the model.
If you are looking for an online course to learn Machine Learning, check out this Machine Learning Certification program by Intellipaat.
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