About
One of the coolest parts about building machine learning models is being able to share them with others so they know what you have accomplished. This is exactly why we should learn how to deploy our models, so anyone can interact with them through a nice user interface. In this guided project, we will build a PyScript-based web application from scratch in order to deploy a linear regression model in our browser. Since we will be using a simple methodology, no prior knowledge in machine learning will be required to complete this guided project.

A Look at the Project Ahead
After completing this Guided Project, you will be able to:
- Describe the key components of PyScript front-end framework.
- Run machine learning models in your browser.
- Build a simple data visualization web page.

What You'll Need
This course mainly uses Python and HTML. Although these skills are recommended prerequisites, no prior experience is required as this Guided Project is designed for complete beginners.

Frequently Asked Questions

> Do I need to install any software to participate in this project?

Everything you need to complete this project will be provided to you via the Skills Network Labs and it will all be available via a standard web browser.

> What web browser should I use?

The Skills Network Labs platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

Your Instructor
Kopal Garg
I am a Data Scientist Intern at IBM, and a Masters student in computer science at the University of Toronto. I am passionate about building AI-based solutions that improve various aspects of human life.