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.
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.