NeuralProphet_exemple

Tutorial of Time Series Forecasting using NeuralProphet

Background

Thanks to @chiragsamal Code modified from: https://github.com/chiragsamal/NeuralProphet-Tutorial

Alterations:

Try using other data sets to see the results.
Updated some code in the NeuralProphet package that is no longer used.
Replace with plotly drawing package.

Dataset

• Daily minimum temperature dataset
• This dataset describes the 10-year (1981-1990) minimum daily temperature for the city of Melbourne, Australia.
• The units are in degrees Celsius and there are 3650 observations. The data source is considered to be the Australian Bureau of Meteorology.
• You can download here: (https://raw.githubusercontent.com/jbrownlee/Datasets/master/daily-min-temperatures.csv)

Prerequisites

• NeuralProphet
• Pandas
• Numpy

Install

Go check them out if you don't have them locally installed.

$ !pip install neuralprophet
$ !pip install livelossplot

Related Efforts

• NeuralProphet GitHub Repository - 💌 Learn the art of writing quality READMEs.
• Prophet Documentation - A README template to encourage open-source contributions.
• AR -Net Paper - A README template to encourage open-source contributions.