Time series analysis is the process of gathering data over a period of time at regular intervals with the aim of discovering trends, seasonality, and residuals to help with event forecasting. Time series analysis entails attempting to anticipate future values…
What is Backtesting? Backtesting is the process of testing a model against historical data. By simulating past data conditions, you can ensure that your model is accurate. Think of it as cross-validation for time-series models. Why is the backtesting of…
When doing time series forecasting, it is important to have a good understanding of the external data that will be used to predict future events. This understanding can be gained by looking at past data and analyzing how it relates…