BREAST CANCER DETECTION SYSTEM

Tools & Technologies: Python, Scikit-learn, Pandas,

Matplotlib

Developed a machine learning model to predict

breast cancer using labeled datasets.

Processed and cleaned data for accuracy,

implementing feature selection techniques.

Trained and tested models using algorithms like

Support Vector Machines (SVM) and Random Forest.

Achieved [insert accuracy, e.g., 95%] accuracy in

classification, demonstrating reliable performance.

Visualized key insights and predictions using

Matplotlib for enhanced data comprehension.