Forecasting, Deep Learning, Arima, Goldman Sachs, Data Science.
parameters, we can apply the ARIMA model to the data and make forecasts. To accomplish this, we will use a rolling fit approach, which entails training the model on a set of data and utilizing it to estimate the next value in the test set. Following this, we will append the anticipated value to the