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https://github.com/katiebristol/epsilon_fe2o3_controls
Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.
https://github.com/katiebristol/epsilon_fe2o3_controls
biplot exploratory-data-analysis k-means-clustering machine-learning one-hot-encoding paleomagnetism principal-component-analysis random-forest rock-magnetism scikit-learn
Last synced: 7 days ago
JSON representation
Exploratory Data Analysis using machine learning techniques as an exercise for GLY6932 (Data Science and Machine Learning Methods in the Geosciences) at the University of Florida.
- Host: GitHub
- URL: https://github.com/katiebristol/epsilon_fe2o3_controls
- Owner: katiebristol
- Created: 2023-04-19T21:11:09.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-25T22:36:26.000Z (almost 2 years ago)
- Last Synced: 2024-11-24T13:14:26.520Z (2 months ago)
- Topics: biplot, exploratory-data-analysis, k-means-clustering, machine-learning, one-hot-encoding, paleomagnetism, principal-component-analysis, random-forest, rock-magnetism, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 2.9 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0