Detecting outliers with PyCaret

In this recipe, you will explore PyCaret for outlier detection. PyCaret (https://pycaret.org) is positioned as "an open-source, low-code machine learning library in Python that automates machine learning workflows". PyCaret acts as a wrapper for PyOD, which you used earlier in the previous recipes for outlier detection. What PyCaret does is simplify the entire process for rapid prototyping and testing with a minimal amount of code.

You will use PyCaret to examine multiple outlier detection algorithms, similar to the ones you used in earlier recipes, and see how PyCaret simplifies the process for you.

Getting ready

The recommended way to explore PyCaret is to create a new virtual Python environment just for PyCaret so it can install all the required dependencies without any conflicts or issues with your current environment. If you need a quick refresher on how to create a virtual Python environment, check out the Development environment...