This is a simpler book from the same author, obviously written as a feeder took as the content is simpler and leads on to International A.I. Investor.

Damon Lee uses Machine Learning algorithms from a popular Python framework called Scikit-Learn. By far the best book on using this library for general Machine Learning usage is "Hands On Machine Learning"

For general learning about Python, Python crash course is a great book.

For Python usage for trading rather than investing this is a great book to learn from.

This is an old-school book for systematic investing strategies, written about 20 years ago now. These days the programming tools are much more accessible and there is more data available for the average person.

For data science basics, like starting from no understanding whatsoever Data Science from Scratch is definately a better book to work with

The A.I. Investor is too complex for me, I think this one is better to understand the basics.

This is the follow-on book from the same author. It covers much the same content though it goes into more depth and allows the machine leanring code to work on international markets too, as well as introducing advanced content such as modern portfolio theory.

Modern day tools to do this kind of quant investing yorself.