https://github.com/scottire/ewma

An interactive notebook to visualise Exponentially Weighted Moving Averages
https://github.com/scottire/ewma

Last synced: 2 days ago
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An interactive notebook to visualise Exponentially Weighted Moving Averages

• Host: GitHub
• URL: https://github.com/scottire/ewma
• Owner: scottire
• Created: 2019-08-27T11:19:47.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-08-27T11:30:52.000Z (over 5 years ago)
• Last Synced: 2024-12-03T17:51:47.076Z (2 months ago)
• Language: Jupyter Notebook
• Size: 1.95 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Explore Exponentially Weighted Moving Averages using Jupyter Widgets

An example project to visualise how a function changes with different parameters.

## Usage

Run `jupyter notebook` and run each cell in order. 

Or [use Colab](colab.research.google.com/github/scottire/ewma/blob/master/EWMA.ipynb)

## Requirements

```

numpy

matplotlib

sklearn

ipywidgets

pandas

```