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NASA SpaceApps Exoplanet Finder Machine Learning Models

This repository contains trained machine learning models (.pkl) developed for the NASA Space Apps Challenge.

The models are designed to analyze astronomical flux/light curve data to assist in exoplanet detection and classification.

mybad it's still not organized well

I GOT TOO LAZY TO EVEN FIX ANYTHING !!!!!!!!

Project Overview

  • Event: NASA International Space Apps Challenge
  • Domain: Astronomy / Exoplanet Detection
  • Tech: Machine Learning
  • Model Format: .pkl (Pickle)

These models were trained using processed space telescope data and are intended for research, experimentation, and educational purposes.

K2Models

TESSModels

datasetsTESS_TOI_KEPLER

keplerModels

README.md

Model Details

  • Input: Flux / Light Curve data / Space Data
  • Output: Exoplanet classification or prediction
  • Algorithms Used:
    • Logistic Regression / Random Forest / XGBoost

I hate these projects

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These are the ML Models I've trained from NASA's Data for a NASA Hackaton

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