Machine Learning project for classifying sonar signals.
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Updated
Nov 9, 2025 - Python
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sonar-classification
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This project builds a machine-learning system to classify underwater sonar signals as mines or rocks. Using PCA for dimensionality reduction and XGBoost for high-accuracy prediction (~95%), the model is both fast and reliable. SHAP is included for explainability, and the final solution is deployed through a Streamlit app for real-time inference.
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Updated
Apr 27, 2026
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