Seasonal Persistence Forecasting With Python

From Blog – Machine Learning Mastery
April 4, 2017 - 3:00pm
It is common to use persistence or naive forecasts as a first-cut forecast on time series problems. A better first-cut forecast on time series data with a seasonal component is to persist the observation for the same time in the previous season. This is called seasonal persistence. In this tutorial, you will discover how to […] The post Seasonal Persistence Forecasting With Python appeared first on Machine Learning Mastery.


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