A Practical Approach to Timeseries Forecasting Using Python - SARIMA in Python

The video tutorial covers the setup and application of the Cerimax model, a variant of ARIMA that includes exogenous variables. It explains how to import necessary modules, specify model orders, and fit the model to data. The tutorial also demonstrates forecasting with Cerimax, adjusting model parameters for better performance, and introduces the concept of making future predictions using data frames.

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