Basics of Streamlit

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

• Plotting 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!

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!