Machine learning's entry barrier is far too high. Right now, for one to get started, they need to know languages like Python, be familiar with libraries like NumPy and ScikitLearn, and know linear algebra and calculus, but these entry barriers discourage people who don't have these prerequisites. ML concepts don't have a fundamental link with text based languages, so we created a system that doesn't pretend they do. We developed Kobra, a visual programming language (like Scratch) for Machine Learning, which allows you to create and share machine learning models in minutes, even for those without programming experience. It's fully open source on GitHub, and for this talk, we want to build an ML project on Kobra with everyone here.