The paper focuses on the digital economy of the Russian Federation by analyzing the level of digitization of its regions based on official statistical data from open sources using machine learning methods with verification of the most strongly influencing factors. Hierarchical clustering is applied to determine different groups of regions. Random Forest classification algorithm enabled us to explain the peculiar properties of the different regional groups.