How To Use Residuals For Time Series Forecasting

In this video we will cover what residuals are, how to perform residual analysis, and demonstrates how to do it all in Python. By analysing residuals, you can gain insights into the performance of your model and identify areas for improvement.! 📈
Series link: • Time Series Crash Course
📝 Blog on time series residuals: medium.com/towards-data-scien...
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⏰ TIMESTAMPS
0:00 Intro
0:50 What are residuals
1:50 What is residual analysis
3:15 Residual analysis in Python
9:57 Recap
10:33 Outro
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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.

[@yorailevi6747]

Very interesting, i liked the transitions

[@egorhowell]

Thanks! This is great feedback, is there anything that could be better in your opinion? :)

[@A-pi2lc]

How would you add the offset to the Holt Winters model?

[@egorhowell]

It's just a constant you add. You could add it to the forecasts as you know it's fixed! Hope that makes sense?