I will help you evaluate and compare multiple machine learning algorithms to detect breast cancer using the popular Wisconsin dataset.
📊 Models Included:
- Logistic Regression
- Random Forest
- Decision Tree
- KNN
- SVM
🔬 Deliverables:
- Well-structured Jupyter Notebook with code and results
- Accuracy comparison of all models
- Visual charts to interpret model performance
- Clear recommendation of the best performing model
🎯 Goal:
To find the most reliable ML model for early cancer detection, using clean and reproducible code.
This is perfect for:
- Research projects
- Educational demonstrations
- Medical data analysis starters
Let’s make data speak for better health decisions!
