I think it was too basic, it lacks more a deeper dive into theoretical aspects and importance about the different scores that the summary of the model provides. However it's a good introduction
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Time Series Mastery: Forecasting with ETS, ARIMA, Python
Instructors: Diogo Resende
Access provided by Universidad de Guadalajara
3,317 already enrolled
47 reviews
Beginner level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).
Analyze real-world data to identify patterns and make accurate predictions.
Create advanced forecasting models using Python.
Details to know
Taught in English
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4.0
Reviewed on Jun 12, 2024
