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

The video tutorial covers the implementation of Auto SRIMA, a model similar to Auto ARIMA, for time series forecasting. It explains how to fit models using Cerimax, evaluate results with different configurations, and visualize the outcomes. The tutorial concludes with a summary of the techniques covered and a preview of future topics.

How does the model evaluate and save results?

What is the role of TQDM in the model implementation?

Discuss the importance of plotting the results in time series forecasting.