What you'll learn:
Basics of Streamlit
Utilizing the various components of Streamlit
Creating projects using Streamlit
Deploying Streamlit application
Requirements
Basic understanding of python programing
Description
Creating a web app and deploying the ML model is the toughest part since most the data science enthusiasts are not familiar with web dev. But Streamlit has made the job extremely easy. Being a Data Science enthusiast, I would like to share and contribute my learnings to the community!
This course introduces you to the basics of Streamlit library. Create professional-looking web applications with python without the knowledge of HTML/CSS.
The course introduces the basic elements of streamlit:
Adding Text and Data to your app
Descriptionting Graphs
Creating layout
Adding widgets
Changing the theme of your web application
Create a basic web app to understand how to combine streamlit and Machine learning models.
By the end of the course, you will be able to
create your own web app within few hours
create a user interface for your ML models
deploy your web application
Before you begin, I would suggest you to brush up on your python skills.
I would also suggest coding along for better learning and understanding!
This course is for absolute beginners who want to understand how streamlit works.
I have tried to keep things as simple as possible and therefore you might not find me using the best coding practices.
I prefer using VS Code for coding but feel free to use your favourite editor!
Who this course is for
Beginner python programmer and data science enthusiast
Homepage

https://www.udemy.com/course/basics-of-streamlit/

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