Monthly Sales Prediction of Tomato Using Time Series Model

The objective of this project was to apply time series analysis to a dataset to understand the variations in monthly sales quantities over time. Both the ARIMA and Seasonal Naïve methods were employed to identify the most accurate model for fitting the data.