Temporal Series Analysis. It includes preprocessing, ARIMA methodology and final prediction.
We initially had data about the price of the gasoline. By using the ARIMA methodology we have transformed the data and got it ready to predict future prices. We also have removed the outliers in order to improve our prediction and decrease the error.
The results of the project are included in the pdf report