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Some of the best time series models for non-stationary data include ARIMA, SARIMA, and LSTM.
ARIMA (AutoRegressive Integrated Moving Average) model is commonly used for non-stationary time series data.
SARIMA (Seasonal ARIMA) model is an extension of ARIMA that can handle seasonal patterns in the data.
LSTM (Long Short-Term Memory) neural network model is effective for capturing long-term dependencies in time series data.
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