What Are Moving Average Models? - Time Series Analysis

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.

Series link:    • Time Series Crash Course  

📝 Blog on time series cross validation: https://medium.com/towards-data-scien...

🐍 Python notebook used in video: https://github.com/egorhowell/Youtube...

👉 Book a 1:1 mentoring call → https://topmate.io/egorhowell

💌 Weekly data science tips & FREE resume template: https://newsletter.egorhowell.com

MY FAVOURITE STUFF:
🎵 Epidemic Sound - Where I get my music: https://share.epidemicsound.com/v015na
🗓️ Notion - How I manage all my stuff - https://affiliate.notion.so/egorhowell
👨‍💻 DataCamp - How I up skill in data science - https://datacamp.pxf.io/egorhowell

(PS: Some of these links are affiliate links that I get a kickback from 😎)

CONNECT WITH ME:
Blog --   / egorhowell  
Twitter (X) --   / egorhowell  
GitHub -- https://github.com/egorhowell
LinkedIn --   / egorhowell  

WHO AM I?
Hi, I'm Egor! 👋 I am a Data Scientist with a master's in Physics currently living in London. I share data science tutorials, advice and general tech topics!

⏰ 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.