Case Study 05

Breast Cancer Multi-Class Classifier

Clinical ML classification pipeline

Apr 2024 – May 2024
PythonTensorFlowKerasScikit-learnPandasNumPy
Key impact
End-to-end Python pipeline for breast cancer subtype prediction with SMOTE, RFE feature selection, dimensionality reduction, and leakage-aware evaluation.
EVALUATIONconfusion.94.04.02.05.91.04.03.06.91ROCROC-AUC 0.98 · macro-F1 0.92
Representative mockup

What I did

2
  1. 01

    End-to-end Python pipeline for breast cancer subtype prediction with SMOTE, RFE feature selection, dimensionality reduction, and leakage-aware evaluation.

  2. 02

    Benchmarked Random Forest, SVM, Gradient Boosting, and tuned TensorFlow/Keras networks with GridSearchCV, Keras Tuner, and StratifiedKFold.

Tech stack

PythonTensorFlowKerasScikit-learnPandasNumPy