Markov chains have been around for a while now, and they are here to stay. From predictive keyboards to applications in trading and biology, they’ve proven to be versatile tools.
Probability Distributions are like 3D glasses. They allow a skilled Data Scientist to recognize patterns in otherwise completely random variables.
This project combines two of my passions: Magic: The Gathering and Machine Learning. Let’s see how they mix with this recommender system!
Today we’ll leverage Python’s Pandas framework for Data Analysis, and Seaborn for Data Visualization. Sometimes when facing a Data problem, we must first dive into the Dataset and learn about it. Its properties, its variables’ distributions — we need to immerse in the domain.