https://github.com/parxd/tectonics

Simple machine learning applications to geological data regarding significant earthquakes since 1900
https://github.com/parxd/tectonics

Last synced: 2 days ago
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Simple machine learning applications to geological data regarding significant earthquakes since 1900

• Host: GitHub
• URL: https://github.com/parxd/tectonics
• Owner: Parxd
• Created: 2022-11-10T20:09:18.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-19T01:04:05.000Z (about 2 years ago)
• Last Synced: 2023-03-10T01:36:50.347Z (almost 2 years ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 3.46 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Plate Tectonics Activity

Machine learning applications to geological data regarding significant earthquakes since 1900

This is a relatively simple application of unsupervised K-means clustering on earthquake data of the past century from the NOAA NCEI.

The motivation for this was to visualize any kind of clusters/differences in earthquake magnitude and depth across different types of plate boundaries.

### Tech

- Jupyter

- Numpy + Pandas

- Seaborn

- Matplotlib

- Sci-kit learn

- Folium

### To run this notebook...

GitHub does not render Folium maps, so parts of the notebook cannot be seen on here.

You can visit this [link](https://nbviewer.org/github/Parxd/Tectonics/blob/main/main.ipynb) to nbviewer to view all of the notebook.

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Plate boundary data from [Kaggle](https://www.kaggle.com/datasets/cwthompson/tectonic-plate-boundaries)