Streamlight Bootcamp- (Free Course)


What you’ll learn

  1. Build complete web applications from scratch with Streamlit.
  2. Develop powerful skills in ALL of Streamlit’s core and advanced features.
  3. Use Streamlit to build data science and machine learning web apps.
  4. Learn how to create beautiful UI for your ML models with Streamlit.

This course includes:

  • 2 hours of video on demand
  • 34 resources to download
  • Full lifetime access
  • Access to cell phones and TV
  • Completion Certificate


Streamlit is an open source Python library that makes it easy to build and share beautiful custom machine learning and data science web applications used to share analysis results, build complex interactive experiences, and demonstrate usable new machine learning models. You can build and deploy robust data applications in minutes.

In addition, the development and deployment of Streamlit applications is extremely fast and flexible, often reducing application development time from days to hours.


In this course you will learn:

Various input types in Streamlit

data view element

layout and container

How to add images and videos to your Streamlit web application

Various chart elements like line charts, bar charts, etc.

3 Complete projects using machine learning and Streamlit.

Stock market index prediction app

Calorie Burn Calculator App

Insurance premium prediction application

At the end of the course, you will build several applications that can be added to your data science and machine learning portfolio. You also have new skills to add to your resume.

After completing this course, you will be able to quickly create web applications and dashboards for data science and machine learning projects using Streamlit.

How to Get this course FREE?

Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).

External links may contain affiliate links, meaning we get a commission if you decide to make a purchase. Read our disclosure.


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