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GitHub / ShubhamP1028 / Exoplanet-Habitability-Analysis-and-Prediction-Model

This project performs a comprehensive analysis of exoplanet datasets using Python. It involves preprocessing NASA’s Kepler/K2 mission data, handling missing values, encoding categorical variables, and performing feature selection. EDA reveals correlations between planetary and stellar parameters Random Forest model to enhance predictive accuracy

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Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 3.35 MB
Dependencies parsed at: Pending

Created at: 24 days ago
Updated at: 9 days ago
Pushed at: 9 days ago
Last synced at: 9 days ago

Topics: astronomy, exoplanet-analysis, exoplanet-detection, ml-model-development, random-forest, space-exploration

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