Rock vs Mine Prediction

Sonar signal classification to detect rocks vs mines using ML techniques.

Rock vs Mine Prediction

Project Overview

Used the Sonar dataset (60 features) to classify materials as rock or mine. Performed scaling, PCA-exploration and trained logistic regression and tree-based models with cross-validation.

Tools & Techniques

PythonPandasPCAScikit-learn

Key Outcomes

  • 83% classification accuracy with regularized logistic regression.
  • Feature-scaling and PCA improved model stability.
  • Clear decision boundaries visualized for analysis.
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