🎗 Breast Cancer Detection (Machine Learning Project)

This is a simple Breast Cancer Detection system built using Logistic Regression to classify tumors as benign or malignant based on tumor size and other diagnostic features.

📌 Features

• Preprocess breast cancer dataset
• Train Logistic Regression model
• Classify tumors as benign or malignant
• Evaluate model performance using accuracy, precision, recall, and F1-score
• Visualize confusion matrix and other evaluation metrics

🛠 Tech Stack

• Language: Python 3
• Libraries Used:
  • pandas
  • numpy
  • scikit-learn
  • matplotlib / seaborn
• Concepts Used:
  • Logistic Regression
  • Data Preprocessing
  • Model Training & Evaluation
  • Visualization