This repository contains examples of publicly available machine learning analyses that have been converted to a low code PyCaret equivalent flow. The goal of this repository is to show how users can
- Convert their high code manual flow into a low code flow that is easier to understand and follow.
- Create an experiment environment where models from several libraries (with different coding syntax and styles) can be compared in a consistent manner.
- Automate manual workflows.