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Turn your python code as a package to be installed everywhere.

Keep track of your different training iterations with MLFlow.

Use the power of the cloud computing to train your model on a very large dataset with Google Colab and AI platform.

• Build your predictive API with FastAPI
• Mount the API in a Docker container
• Deploy the API on Google Cloud Run to make prediction in production

• Build a user interface with Streamlit
• Plug your API to a user interface to build a predictive product
• Deploy a user interface on Heroku for your predictive product