https://github.com/techshot25/keplerdata

This checks out data provided by the Kepler space telescope to study exoplanets.
https://github.com/techshot25/keplerdata

artificial-neural-networks decision-tree-algorithm deep-neural-networks k-nearest-neighbors machine-learning matplotlib multi-layer-perceptron neural-network random-undersampling statistics support-vector-machines

Last synced: about 1 month ago
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This checks out data provided by the Kepler space telescope to study exoplanets.

• Host: GitHub
• URL: https://github.com/techshot25/keplerdata
• Owner: techshot25
• License: mit
• Created: 2019-01-10T23:48:14.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-20T06:18:23.000Z (almost 6 years ago)
• Last Synced: 2024-11-10T12:40:09.679Z (3 months ago)
• Topics: artificial-neural-networks, decision-tree-algorithm, deep-neural-networks, k-nearest-neighbors, machine-learning, matplotlib, multi-layer-perceptron, neural-network, random-undersampling, statistics, support-vector-machines
• Language: Jupyter Notebook
• Size: 7.64 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# KeplerData

This observes the light intensity data of thousands of stars at different time intervals to determine the exitence of exoplanets.

Documentation and code is provided in the file [exoPlanets.ipynb](../master/exoPlanets.ipynb). If you are having trouble rendering it, [click here](https://nbviewer.jupyter.org/github/techshot25/KeplerData/blob/master/exoPlanets.ipynb).