Book

Getting Started with Streamlit for Data Science

Getting Started with Streamlit for Data Science takes you from the basics of web app development in the Streamlit library and machine learning model deployment in Heroku and AWS. The book shows you how you can use Streamlit for a variety of projects to improve job applications and resumes and much more.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

9h24m

Language

English

About Book

Who Is This Book For?

This book is for data scientists and machine learning enthusiasts who want to create web apps using Streamlit. Whether you’re a junior data scientist looking to deploy your first machine learning project in Python to improve your resume or a senior data scientist who wants to use Streamlit to make convincing and dynamic data analyses, this book will help you get there! Prior knowledge of Python programming will assist with understanding the concepts covered.

Book content

chapters 9h24m total length

An Introduction to Streamlit

Uploading, Downloading, and Manipulating Data

Data Visualization

Using Machine Learning with Streamlit

Deploying Streamlit with Streamlit Sharing

Beautifying Streamlit Apps

Exploring Streamlit Components

Deploying Streamlit Apps with Heroku and AWS

Improving Job Applications With Streamlit

The Data Project - Prototyping Projects in Streamlit

Using Streamlit for Teams

Streamlit Power Users

Related Resources

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