This repository addresses the forecasting problem of Monthly production of chocolate confectionery in Australia: tonnes. July 1957 – Aug 1995. To this end, a seasonal auto regressive integrated moving average (Seasonal ARIMA) model is developed in python by using "Statsmodels" library. To pick the model parameters, a hyperparameter tuning approach is presented by using "Pyramid". The accuracy of the proposed model is further validated using a cross-validation strategy.