One of the fields in which Python is the most popular these days is data science. In honor of that fact, let's implement a basic machine learning algorithm.
Machine learning is a huge topic, but the general idea is to make predictions or classifications about future data by using knowledge gained from past data. Uses of such algorithms abound, and data scientists are finding new ways to apply machine learning every day. Some important machine learning applications include computer vision (such as image classification or facial recognition), product recommendation, identifying spam, and self-driving cars.
So as not to digress into an entire book on machine learning, we'll look at a simpler problem: given an RGB color definition, ...
