XGBoost: When Gradient Boosting Meets Regularization

XGBoost, or eXtreme Gradient Boosting, is a powerful machine learning algorithm designed to tackle complex tabular prediction problems, particularly in scenarios with messy real-world data. It excels in handling issues like missing values, outliers, and non-linear relationships, making it a preferred choice for applications ranging from fraud detection to customer churn prediction. Its robust performance has made it a staple in data science competitions and various industry applications.