Cheatsheets
Exponential Smoothing for Time Series Forecasting
A comprehensive Python cheat sheet on how to use Exponential Smoothing models for time series forecasting.
Time Series
Exponential Smoothing for Time Series Forecasting
Exponential Smoothing is a popular time series forecasting method used for univariate data. While other methods, such as ARIMA models, develop a model based on a weighted linear sum of recent past observations or lags, Exponential Smoothing models employ an exponentially decreasing weight for past observations. This weight is calculated Read more…