Code Supplement for Drive System Fundamentals

Welcome to the code resource and practice materials for the lecture Machine Learning and Data Science II where our focus will be on the topic of Machine Learning and Neural Networks.

All the code presented herein are written in Python and have been tested to be working using python 3.12 using macOS Sonoma 14.5. The code should (while not promising) work on windows, however it is up to the reader to do the necessary debugging of the code for it to work on their respective systems.

To check whether your system is supported you can run the following code.

import sys
# To test if you python version is above 3.7
assert sys.version_info >= (3, 7)

from packaging import version
import sklearn
# To test if you have the minimum required Sklearn
assert version.parse(sklearn.__version__) >= version.parse("1.0.1")

There are a wide variety of packages and dependencies required for all the code snippets to work so don't skip on a code within the section while working through the examples.

Please read the code and their comments carefully as the wrong order of execution may cause problems