https://github.com/machine-learning-tokyo/kaggle
MLT working sessions: Kaggle
https://github.com/machine-learning-tokyo/kaggle
deep-learning kaggle machine-learning
Last synced: 10 months ago
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MLT working sessions: Kaggle
- Host: GitHub
- URL: https://github.com/machine-learning-tokyo/kaggle
- Owner: Machine-Learning-Tokyo
- Created: 2019-03-19T00:57:29.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-23T07:02:10.000Z (almost 7 years ago)
- Last Synced: 2025-04-18T16:29:19.809Z (10 months ago)
- Topics: deep-learning, kaggle, machine-learning
- Language: Jupyter Notebook
- Size: 2.15 MB
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# MLT working sessions: Kaggle
**Session I: [LANL Earthquake Prediction](https://www.kaggle.com/c/LANL-Earthquake-Prediction)**
Forecasting earthquakes is one of the most important problems in Earth science because of their devastating consequences. Current scientific studies related to earthquake forecasting focus on three key points: when the event will occur, where it will occur, and how large it will be.
In this competition, you will address when the earthquake will take place. Specifically, you’ll predict the time remaining before laboratory earthquakes occur from real-time seismic data.