To get the most out of this book
You will need a version of Python installed on your computer—the latest version, if possible. All code examples have been tested using Python 3.10 on Windows. However, they should work with future version releases too.
Software/hardware covered in the book
Operating system requirements
Windows, macOS, or Linux
Microsoft C++ Build Tools
The Python examples in the book are available as Jupyter notebooks, and you need to use an IDE such as Visual Studio Code (https://code.visualstudio.com/) to run them. You also need a Gmail account to download specific resources.
If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.
In certain notebooks, the code uses reduced versions of the datasets to limit the run time to an acceptable level. Feel free to adjust the size of the datasets based on your system configuration. At the end of each chapter, you are strongly urged to re-execute the code by alternating the configuration of each machine learning algorithm.