/arima_guide

A mathematical deep dive into making the most of your ARIMA models with parameteric tuning

Primary LanguageJupyter Notebook

arima_guide

A mathematical deep dive into making the most of your ARIMA models with parameteric tuning.

Dataset

For the purpose of this primer we will be demonstrating most of our transformation and modeling on the 'Sales of shampoo over a three year period' dataset that was acquired from DataMarket.

Setup

To run please install Flask for Python.

  1. Make sure you are in the work directory
  2. Run with following command:

    flask run