Cervical Cancer Risk Prediction Using Machine Learning

In this hands-on project, you will learn to build and train an XG-Boost classifier to predict the risk of cervical cancer. The course utilizes data from 858 patients, including factors like number of pregnancies, smoking habits, STD, demographics, and medical records.

Throughout the course, you will gain an understanding of the XGBoost Algorithm, perform exploratory data analysis, and develop, train, and evaluate an XG-Boost classifier model using Scikit-Learn.

• Understand the theory and intuition behind XGBoost Algorithm
• Perform exploratory data analysis
• Develop, train and evaluate XG-Boost classifier model using Scikit-Learn