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Time Series Seasonal Decomposition

Using Seasonal Decomposition to Inform the SARIMA Model Selection of Soybean Prices in Python.

There are a variety of approaches you can use when working with time series data, such as linear models, ARIMA models, exponential smoothing methods, and recurrent neural networks (RNNs). In this post, I will focus on an extension of the ARIMA model that also accounts for seasonality in the data: the SARIMA model.

Brief Overview of SARIMA Model

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Andrea Yoss

Andrea Yoss

LinkedIn: www.linkedin.com/in/andreayoss

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