This repository contains code for a breast cancer prediction model created using scikit-learn and deployed on a Streamlit web application.

Breast cancer is one of the most common cancers among women worldwide. Early detection plays a crucial role in improving survival rates. This project aims to assist in early detection by providing a machine learning model that predicts the likelihood of breast cancer based on certain features.

• Predictive Model: Utilizes scikit-learn to develop a predictive model based on input features such as tumor characteristics.
• Streamlit Web Application: The model is deployed on a Streamlit web application, providing a user-friendly interface for users to input data and obtain predictions.

• Python 3.8
• matplotlib==3.8.3
• numpy==1.26.4
• pandas==2.2.2
• plotly==5.20.0
• scikit_learn==1.4.1.post1
• streamlit==1.25.0

1. Clone this repository:

   git clone https://github.com/your-username/breast-cancer-prediction.git

2. Install the required dependencies:

   pip install -r requirements.txt

1. Navigate to the project directory:

   cd breast-cancer-prediction

2. Run the Streamlit app:

   streamlit run app/app.py

3. Access the web application in your browser at http://localhost:8501.

Contributions are welcome! Please feel free to open an issue or submit a pull request.

Special thanks to the scikit-learn and Streamlit communities for their excellent libraries and resources.