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Streamlit for Data Science - Second Edition

You're reading from  Streamlit for Data Science - Second Edition

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803248226
Pages 300 pages
Edition 2nd Edition
Languages
Author (1):
Tyler Richards Tyler Richards
Profile icon Tyler Richards

Table of Contents (15) Chapters

Preface An Introduction to Streamlit Uploading, Downloading, and Manipulating Data Data Visualization Machine Learning and AI with Streamlit Deploying Streamlit with Streamlit Community Cloud Beautifying Streamlit Apps Exploring Streamlit Components Deploying Streamlit Apps with Hugging Face and Heroku Connecting to Databases Improving Job Applications with Streamlit The Data Project – Prototyping Projects in Streamlit Streamlit Power Users Other Books You May Enjoy
Index

Summary

In this chapter, we learned about some ML basics: How to take a pre-built ML model and use it within Streamlit, how to create our own models from within Streamlit, how to use user input to understand and iterate on ML models, and even how to use models from Hugging Face and OpenAI. Hopefully, by the end of this chapter, you’ll feel comfortable with each of these. Next, we will dive into the world of deploying Streamlit apps using Streamlit Community Cloud!

Learn more on Discord

To join the Discord community for this book – where you can share feedback, ask questions to the author, and learn about new releases – follow the QR code below:

https://packt.link/sl

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