Asteroid impact-risk analysis

This project focuses on the analysis of asteroid impact risk using machine learning techniques.

The project includes:

  • Dataset downloading and preparation.

  • Data cleaning and transformation.

  • Feature creation.

  • Exploratory data analysis.

  • Neural network training.

  • Model evaluation.

  • Impact probability predictions.

  • Visualization and reporting.

Project workflow

The complete project follows this workflow:

Dataset from Hugging Face
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           v
Dataset downloading and cleaning
           |
           v
Feature creation
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           v
Neural network training
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           v
Model evaluation
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           v
Impact probability predictions

Project outputs

The trained models are stored in models/.

The metrics, training history, and visualizations are stored in reports/.

To install and run the project, see Installation.