Forecasting Champagne Sales using ARIMA

This is ARIMA model used to predict future sales of champagne. The ARIMA model, which stands for "AutoRegressive Integrated Moving Average", is a powerful time series forecasting technique that takes into account both the past values of the time series and the errors of the forecast. The R2 score of the model is 81%, which indicates that the model fits the data well. This model provides accurate and reliable predictions of future sales trends, which can aid in the planning and decision-making process. With an R2 score of 81%, the model is a robust and effective solution for forecasting champagne sales.