Dmitry created an application that predicts the weather for tomorrow in Dolgoprudny: t.me/markov_weather_bot
The application uses Markov chains and machine learning methods.
GitHub
Matvey used models based on differential equations and Markov chains.
GitHub
Egor investigated the classical methods of finding the page ranking vector.
GitHub
Tigran predicted the price of various stocks and USD/RUB using Brownian motion process and machine learning methods.
GitHub
Leo investigated how a network of nodes will handle Poisson flows if congestion occurs on one node.
Nina solved the problem of a picky bride who wants to choose the best groom.
Nikita solved the classic Ehrenfest problem about two dogs with fleas and studied where this model can be used.
GitHub