What is time series decomposition? If you are training a machine learning model for a time series problem and aiming to forecast what may happen in the future - you may notice patterns in your data. The target you’re trying to learn has repeated cycles, and is generally increasing

Many modern machine learning models leverage time series data to predict future outcomes. Instead of utilizing static data to predict a target variable, time series adds the element of chronology. This can be leveraged with any sort of time-based task, such as predicting the temperature tomorrow or future sales growth

EvalML offers a wide variety of ways to understand the machine learning models that you train using our software.