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 by
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.
Getting Started with Streamlit for Data Science
- About Book
- Who Is This Book For?
- Book Content
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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