rasbt/python-machine-learning-book-2nd-edition

Helpful installation and setup instructions can be found in the README.md To access the code materials for a given chapter, simply click on the open dir links next to the chapter headlines to navigate to the chapter subdirectories located in the code/ subdirectory. You can also click on the ipynb links below to open and view the Jupyter notebook of each chapter directly on GitHub. In addition, the code/ subdirectories also contain .py However, I highly recommend working with the Jupyter notebook if possible in your computing environment.