https://github.com/ayushsaksena30/cosmic-classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
https://github.com/ayushsaksena30/cosmic-classifier
catboost-classifier label-encoder machine-learning matplotlib numpy pandas robust-scaler scikit-learn seaborn simple-imputer
Last synced: 2 months ago
JSON representation
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
- Host: GitHub
- URL: https://github.com/ayushsaksena30/cosmic-classifier
- Owner: ayushsaksena30
- Created: 2025-03-22T20:27:36.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-23T03:25:01.000Z (2 months ago)
- Last Synced: 2025-03-23T04:21:08.989Z (2 months ago)
- Topics: catboost-classifier, label-encoder, machine-learning, matplotlib, numpy, pandas, robust-scaler, scikit-learn, seaborn, simple-imputer
- Language: Jupyter Notebook
- Homepage: https://tinyurl.com/cosmic-classifier
- Size: 3.1 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0