This is a Machine Learning project work where I developed a model which can predict cervical cancer. For this project I used Python and some python libraries. Here I use xg-boost classifier. XGBoost (eXtreme Gradient Boosting) is a powerful machine learning algorithm used for both classification and regression tasks. It is based on the gradient boosting framework, which combines multiple weak prediction models (often decision trees) to create a strong ensemble model. Here I use a dataset from 858 patients at 'Hospital Universitario de Caracas' in Caracas.
How to Run the project Step-1: Download the zip file Step-2: Extract the ZIP and open it. Step-3: Go to file location and install requirements.txt