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

The video tutorial covers setting up an auto regression model using variables like DF_test and pollution today. It explains how to fit the model, make predictions, and evaluate them against test data. The tutorial also demonstrates using TQDM for iterations and plotting results. Finally, it summarizes the model's performance and concludes with a brief overview of the moving average model.

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