A collection of Jupyter Notebook tutorials for the use of Kepler data products from MAST
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Aug 20, 2018 - Jupyter Notebook
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exoplanets
Here are 6 public repositories matching this topic...
Teaching modules for planetary materials research in Jupyter notebook
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Apr 16, 2019 - Jupyter Notebook
Jupyter notebook containing Python code for predicting exoplanet orbital obliquities using machine learning random forest regression models.
python data-science machine-learning jupyter-notebook data-visualization exoplanets random-forest-regression k-fold-cross-validation orbital-obliquity
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Dec 17, 2024 - Jupyter Notebook
Jupyter notebook containing Python code for predicting exoplanet orbital obliquities using machine learning random forest classifier models.
python data-science machine-learning jupyter-notebook data-visualization exoplanets random-forest-classifier k-fold-cross-validation orbital-obliquity
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Dec 17, 2024 - Jupyter Notebook
This repository focuses on using machine learning algorithms, such as decision trees, gradient boosting, and random forest, to advance exoplanet detection. Explore data analysis, Jupyter notebooks, and code implementations, and contribute.
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Aug 5, 2023 - Jupyter Notebook
This repository includes 3 Jupyter notebooks and all text files needed to reproduce the numbers and figures given in "High-Pass Filtering and Gaussian Process Regularization: Stellar Activity Characterization Techniques Applied to the 55 Cnc Planetary System".
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Dec 29, 2024 - HTML
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