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We delve into the core principles of moving average techniques and their application in time series analysis. Ideal for anyone interested in data science, econometrics, or machine learning, this video highlights the role of moving average models in forecasting, offering a foundation for understanding more complex models like the ARIMA model.
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⏰ TIMESTAMPS
0:00 Intro
0:40 What are moving average models
3:14 Requirements for moving average models
4:18 Fitting moving average models
8:14 Moving average models in Python
13:38 Recap
14:05 Outro
DISCLAIMERS
This content is for educational and entertainment purposes only and should not be considered as professional advice. Views and opinions are my own and do not represent or reflect the opinions of my current or past employer or any organisations I am associated with. This description also contains affiliate links from which I may receive a small commission from.