This repository contains notes and solutions related to Forecasting: Principles and Practice (2nd ed.) by Rob J Hyndman and George Athanasopoulos.
The work done here is part of an informal study group the schedule for which is outlined below:
| Date | Content | Presenter |
|---|---|---|
| 2020-07-05 | Chapters 1 and 2 | Nishant |
| 2020-07-12 | Chapters 3 and 4 | Shivam |
| 2020-07-19 | Chapters 5 and 6 | Deepak |
| 2020-08-02 | Chapter 7 | Nishant |
| 2020-08-09 | Chapter 8 | Shivam |
| 2020-08-16 | Chapter 9 | Deepak |
| 2020-08-23 | Chapter 10 | Nishant |
| 2020-08-30 | Chapters 11 and 12 | Shivam |
We're using the 2nd edition instead of the newer 3rd. edition as it contains more exposition on a few topics of interest. The original textbook focuses on the R language, we've chosen instead to use Python.
Directory Structure:
data/ - contains raw data from textbook + data from reference R package
utils/ - contains some common plotting and statistical functions
Data Source: https://vincentarelbundock.github.io/Rdatasets/datasets.html