How to Serve and Deploy Machine Learning Models Easily

Moving from Jupyter notebooks to production is not that difficult after all

Ahmed Besbes
Towards Data Science
10 min readNov 17, 2022

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Photo by Fran Jacquier on Unsplash

If you’re a data scientist, you probably spend a lot of time developing intricate Jupyter notebooks to perform data analysis, build complex training pipelines, or compute statistics.

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Medium Top Writer (+2M views) | I write about python and productionizing ML code into scalable apps. Exclusive content here: https://thetechbuffet.substack.com/