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.

Language: Jupyter Notebook - Size: 3.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

alel2003/Spaceship-Titanic

Language: Jupyter Notebook - Size: 2.34 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

Ehsan-Behzadi/Breast-Cancer-Prediction-Model

This project implements a machine learning model to predict breast cancer diagnosis. Utilizing techniques such as data preprocessing, feature selection, and various algorithms, the model aims to assist in early detection and improve healthcare outcomes. Explore the repository to understand the methodology and technologies used in this project.

Language: Jupyter Notebook - Size: 793 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nguyenthiennhan444/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.

Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0