Data Science 🐍 Time Series

The video tutorial covers the basics of time series data and models, explaining how to predict future values based on past data. It introduces the concept of using coefficients in time series models and demonstrates the use of the Gecko system identification package for model fitting. Advanced modeling techniques and parameter adjustments are discussed, followed by practical applications in control systems, highlighting the use of model predictive control in various industries.

What is the purpose of the SYSID in the context of time series modeling?

How can you adjust the parameters of a time series model to improve its predictions?

What is model predictive control and how does it relate to time series models?

Discuss the applications of time series models in various industries.