#time series
How do we compute a Gramian Angular Field (GAF) for time series?
How do we compute a Gramian Angular Field (GAF) for time series?This post introduces the Gramian Angular Field and its implementation in Python.
Autocorrelation Functions for Time Series
Autocorrelation Functions for Time SeriesThis post provides some theoretical background on autocorrelation functions and how to use them to analyze time series. Furthermore, we show how to use the autocorrelation (ACF) function and the Partial Autocorrelation (PACF) functions to determine the parameters for an ARMA model.
Time series forecasting error metrics
Time series forecasting error metricsError measures provide a way to quantify the quality of a forecasting algorithm (e.g., performance). We briefly introduce time series and the fundamental terms of forecasting. We will then introduce the most commonly used error measures and give some examples. We provide an example of how to use error metrics in a real-life forecasting scenario.