Breast_cancer_detection

This repository contains a file, breast_cancer_model.py, which implements a breast cancer detection model using both Mp Neuron and perceptron algorithms and data preprocessing and collection. A .ipynb file is also added to show the implementation. additionally 2 files named MpNeuron.py and Perceptron.py are provided for usage.

Table of Contents

1. Model Architecture
2. Usage
3. Dependencies
4. Note
5. Acknowledgments

Model Architecture

1. Data Collection
2. Data Splitting
3. Binarizing the data
4. MP Neuron model
5. Perceptron model

Usage

• To see the implementation of the model run the 'breast_cancer_model.ipynb' file
• To implement the model run the 'breast_cancer_model.py' file
• To use the Perceptron model import the 'perceptron.py' file
• To use the Mp Neuron model import the 'MpNeuron.py' file

Dependencies

• Python
• Numpy
• Pandas
• Scikit-learn
• Matplotlib

Note

• The model is for educational and research purposes only, and should not be used for medical diagnosis without consulting a medical professional.
• The model is trained using the default parameters, but they can be adjusted as needed.

Acknowledgments

• The Data is taken from scikit-learn datasets