You're reading from Building Data Science Applications with FastAPI

Product typeBook

Published inOct 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781801079211

Edition1st Edition

Languages

Python

Tools

Fastlane

Concepts

Data Science

Author (1)

François Voron

Summary

Congratulations! You've discovered the basics concepts of ML and scikit-learn. Now, you should be able to explore your first data science problems in Python. Of course, this was by no means a complete lesson on ML: the field is vast and there are tons of algorithms and techniques to explore. However, I hope that this has sparked your curiosity and that you'll deepen your knowledge of this subject.

Now, it's time to get back to FastAPI! With our new ML tools at hand, we'll be able to leverage the power of FastAPI to serve our estimators and propose a reliable and efficient prediction API for our users.

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Building Data Science Applications with FastAPI

Published in: Oct 2021Publisher: PacktISBN-13: 9781801079211

Author (1)

François Voron

François Voron graduated from the University of Saint-Étienne (France) and the University of Alicante (Spain) with a master's degree in machine learning and data mining. A full stack web developer and a data scientist, François has a proven track record working in the SaaS industry, with a special focus on Python backends and REST APIs. He is also the creator and maintainer of FastAPI Users, the #1 authentication library for FastAPI, and is one of the top experts in the FastAPI community.
Read more about François Voron

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