Personal notes around learning AI & ML. This follows the content of several books:
These notes are meant to be a quick reference for myself and are not meant to be a replacement for the books mentioned. If you find these notes useful, please consider buying the book to support the author.
This is a checklist template to guide you through the ML project process. This will cover eight main steps. This is based on the checklist from the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.
This is a basic list of open data sets for machine learning as acquired from various sources.
This basic ML project will follow the Project Checklist to create a simple ML application. The project is to create a model that will predict the median housing price in a given district in California. It is the first (most basic) project that will be completed from start to finish going through all the steps of the checklist.