[Book with Code] Introduction to machine Learning with Python

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Introduction to Machine Learning with Python provides a practial view of engineering machine learning systems in Python. The premise of the book is to enable people to learn the basics of machine learning without requiring a lot of mathematics. We therefore keep the amount of formulas to a minimum, and instead rely on code and illustrations to bring across the driving principles behind applying machine learning. We heavily focus on the use of the scikit-learn machine learning library, and give a detailed tour of its main modules and how to piece them together to a successful machine learning pipeline.

Credits: Andreas Mueller and Sarah Guido.

Github Repo with Code