Data science project for predicting and observing trends in daily cryptocurrency prices from 2013-2018. 942,000 rows, 13 features, 2071 different currencies. Focused on Bitcoin because it's the largest currency by market volume, but can change to any other currency by changing the name used. Ran 3 models: CART decision tree, CART decision tree with normalized data, random forest.