Questions
- Apply the principle of naïve forecasting to the “Air Passenger” dataset using the exercise notebook provided.
- Implement the moving average technique on the same dataset and evaluate its performance by calculating the MAE and MSE values.
- Next, introduce the method of differencing to your moving average model. Again, assess the accuracy of your forecast by determining the MAE and MSE values.
- With the sample temperature dataset at hand, demonstrate how to create meaningful features and labels from this data.
- Lastly, experiment with the simple FFN model on the dataset and observe its performance.
