All code examples are hosted on Kaggle. You can use Kaggle for free and get access to a GPU, which will enable you to run the example code much faster. If you do not have a very powerful machine with a GPU, it will be much more comfortable to run the code on Kaggle. You can find links to all notebooks on this book's GitHub page: https://github.com/PacktPublishing/Machine-Learning-for-Finance.
This book assumes some working knowledge of mathematical concepts such as linear algebra, statistics, probability theory, and calculus. You do not have to be an expert, however.
Equally, knowledge of Python and some popular data science libraries such as pandas and Matplotlib is assumed.
Download the example code files
You can download the example code files for this book from your account at http://www.packt.com. If you purchased this book elsewhere, you can visit http://www.packt.com/support and register to have the files emailed directly to you.
You can download the code files by following these steps:
There are a number of text conventions used throughout this book.
CodeInText: Indicates code words in the text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. For example; "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."
Bold: Indicates a new term, an important word, or words that you see on the screen, for example, in menus or dialog boxes, also appear in the text like this. For example: "Select System info from the Administration panel."