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soft-voting

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98.25% accurate Breast Cancer detection - This is an Ensemble Machine learning Model utilising Pytorch and Tensorflow neural networks. Scikit voting classifier was used to create soft voting.

  • Updated Oct 13, 2024
  • Jupyter Notebook

Calibrated, monotonicity-constrained ensemble for loan approval prediction. Soft-votes Logistic Regression, Decision Tree, Random Forest and a custom PyTorch network, served through a Streamlit app. 91.9% accuracy, 0.968 ROC-AUC.

  • Updated Oct 10, 2026
  • Jupyter Notebook

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