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kepler-dataset

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fatzzi / Exoplanet-Transit-Detection-Using-NASA-Kepler-Data

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This project presents a multi-method AI pipeline for prioritizing exoplanet candidates from the NASA Kepler KOI dataset. Combining from-scratch implementations of Decision Trees, Naive Bayes, K-Means clustering, and Bayesian reasoning with a CNN baseline, the system ranks 1,979 unresolved signals by their likelihood of being genuine exoplanets.

python data-science machine-learning ai astronomy clustering numpy naive-bayes classification astrophysics research-project bayesian-inference exoplanet-transits ccn exoplanet descision-tree exoplanet-detection kepler-dataset
  • Updated May 6, 2026
  • Python

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