Streamlit Guide: How to Build Machine Learning Applications

Building machine learning applications keeps getting easier. With Streamlit, you can develop machine learning apps quickly and easily. You can also use the Streamlit sharing platform to deploy your applications in just a couple of clicks.

It doesn’t take long to start developing with Streamlit, since you don’t even need any front-end web development experience. With Streamlit, you script everything with Python. Streamlit is also compatible with data science libraries that you probably know.

In this article, we’ll be taking a look at how you can leverage Streamlit to develop your machine learning applications.

1 Like

Hey @mwitiderrick, this is a great overview of Streamlit, and love the integration with Neptune, thanks for writing!

I also took the liberty of moving your topic into the Show the Community section :wink:

Have a good day!

Thanks @andfanilo