Time series forecasting is a difficult problem with no easy answer. There are countless statistical models that claim to outperform each other, yet it is never clear which model is best.
That being said, ARMA-based models are often a good model to start with. They can achieve decent scores on most time-series problems and are well-suited as a baseline model in any time series problem.
This article is a comprehensive, beginner-friendly guide to help you understand ARIMA-based models.
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