Hands-on Machine Learning with Aurélien Géron

Hands-on Machine Learning in Python with Scikit-Learn, Keras and Tensorflow, Second Edition

The lion’s share of this chapter is based on the excellent book written by Aurélien Géron. Besides the book itself - which is warmly recommended as a desk reference - the author has graciously provided a repository of notebooks with solutions and exercises on GitHub. These are included here almost entirely, only leaving out the introductory notebooks on Python.

Notebooks per chapter

Each chapter of the book comes with a separate notebook. Chapter 1 through 9 cover scikit-learn, i.e. the most commonly used regression and classification algorithms. Chapter 10 through 19 cover deep learning witk Keras and Tensorflow.

Extra notebooks

If you require a more insight into the underlying principles of machine learning, these extra notebooks cover a selection of mathematical topics.