Bachelor thesis regarding bus passenger forecasting for line 1A-6A in Aarhus, Denmark. We evaluate classical naive and statistical models (Lasso) together with machine learning (Random Forest and XGBoost) and deep learning models (RNN and LSTM). We adopt Performance Based Shapley Values for "black-box" model explaination.