Data description

Source: Data Mining for Business Analytics $($Python Edition $2017),$ by Galit Shmueli, Peter Bruce, Inbal

Yahav, Nitin Patel, Kenneth Lichtendahl

The dataset records Australian red wine sales data between $1980$ and $1994.$

Using Python,

Please use the last $2$ years of data as the validation dataset $($hold$-$out sample$).$

Please run different forecasting models and compare their model performance.

Linear trend

Seasonality

Linear trend and seasonality

Simple exponential smoothing model

Questions:

Please show the plot of the entire dataset.

Please provide results for each model estimation

Which model is the best forecasting model? Please provide your evidence