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A comment on Arima Model – Guide to Time Series Forecasting in Python.

Re:Arima Model – Guide to Time Series Forecasting in Python by harleyk on Sunday June 23, 2019 @08:20AM (#20255003)
Aileen Neilsen did a 3 hr session discussing timeseries analysis SciPy 2016. Each chapter is a Python Notebook. The ARIMA model figures prominently in chapter 7 Forecasting. I find her session tremendously helpful when analyzing ts data especially her discussion of seasonality. Youtube walkthrough: https://www.youtube.com/watch?v=JNfxr4BQrLk Github data: https://github.com/AileenNielsen/TimeSeriesAnalysisWithPytho...
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Re:Arima Model – Guide to Time Series Forecasting in Python by yuy910616 on Sunday June 23, 2019 @10:48AM (#20255890)
she also did it in Pycon 2017 https://www.youtube.com/watch?v=d3PtB5z9MyE

and she has an upcoming oreilly book on TS analysis. Preorder now! (no AF, just a fan of her) https://www.amazon.com/Practical-Time-Analysis-Prediction-St...

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Re:Arima Model – Guide to Time Series Forecasting in Python by jldugger on Sunday June 23, 2019 @08:08PM (#20259542)
This seems like the one to watch. Not sure why but the 2016 version didn't much cover forecasting. Thanks!
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