A project for the Forecasting II course, the Spring 2022 semester.
Predicting the number of available bikes at the bike-sharing stations in Morges for every 10 minutes on a predefined date using the data from a large Swiss bike-sharing company with a broad range of models and techniques (e.g. STL decomposition, ETS, ARIMA, Fourier transform, cross-validation techniques) using R language.