Hands-On Machine Learning for Cybersecurity

Setting up the development and testing environment

In this section we will discuss how to set up a machine learning environment. This starts with a use case that we are trying to solve, and once we have shortlisted the problem, we select the IDE where we will do the the end-to-end coding.

We need to procure a dataset and divide the data into testing and training data. Finally, we finish the setup of the environment by importing the ideal packages that are required for computation and visualization.

Since we deal with machine learning use cases for the rest of this book, we choose our use case in a different sector. We will go with the most generic example, that is, prediction of stock prices. We use a standard dataset with xx points and ...