What if every row/flower from the Iris dataset was represented as a marble in a physics simulation? Using Scikit-Learn with Blender to render the iris dataset in 3d and create a physical simulation of a marble machine to classify the dataset.
Blender 2.82 comes with python 3.7 and pip already, so you just have to find Blenders' python binary and run it's pip module.
On my mac I found it here:
cd /Applications/Blender.app/Contents/Resources/2.82/python/bin
Then to run that specific python binarys' pip install
with the following:
./python3.7m -m pip install scikit-learn
I could also see all of Blenders' installed python packages at: /Applications/Blender.app/Contents/Resources/2.82/python/lib/python3.7
Utilising a virtual workstation for a couple of hours; photo realistic rendering can be achived all in the cloud without having to stress out my old laptop.