Skip to content
/ fpp3-python-readalong Public

Python-centered read-along of Forecasting: Principles and Practice

453 stars 147 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

zgana/fpp3-python-readalong

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
.gitignore
.gitignore
 
 
00-Preface-to-this-readalong.ipynb
00-Preface-to-this-readalong.ipynb
 
 
02-Time-series-graphics.ipynb
02-Time-series-graphics.ipynb
 
 
03-Time-series-decomposition.ipynb
03-Time-series-decomposition.ipynb
 
 
04-Time-series-features.ipynb
04-Time-series-features.ipynb
 
 
05-The-forecasters-toolbox.ipynb
05-The-forecasters-toolbox.ipynb
 
 
06-Judgmental-forecasts.ipynb
06-Judgmental-forecasts.ipynb
 
 
07-Time-series-regression-models.ipynb
07-Time-series-regression-models.ipynb
 
 
08-Exponential-smoothing.ipynb
08-Exponential-smoothing.ipynb
 
 
09-ARIMA-models.ipynb
09-ARIMA-models.ipynb
 
 
10-Dynamic-regression-models.ipynb
10-Dynamic-regression-models.ipynb
 
 
Contents.ipynb
Contents.ipynb
 
 
R-export-datasets.ipynb
R-export-datasets.ipynb
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
utils.py
utils.py
 
 

Repository files navigation

fpp3-python-readalong

These notes are a Python-centered read-along of the excellent Forecasting: Principles and Practice by Rob J Hyndman and George Athanasopoulos [1].

Please find the table of contents on Jupyter nbviewer.

[1] Hyndman, R.J., & Athanasopoulos, G. (2019) Forecasting: principles and practice, 3rd edition, OTexts: Melbourne, Australia. OTexts.com/fpp3. Accessed on 2020-07-20.

About

Python-centered read-along of Forecasting: Principles and Practice

Resources

Readme
Activity

Stars

453 stars

Watchers

7 watching

Forks

147 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages