All 7 XGBoost & Gradient Boosting questions
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What is XGBoost & Gradient Boosting

Beginner

Answer

Gradient boosting is a machine learning technique that builds a strong model by combining many weak models trained one after another, and XGBoost is a popular, efficient implementation of this technique.
Real-world example A data science competition winner often uses XGBoost because of its strong performance and speed on structured, tabular data.

Common follow-ups: What is Predictive Modeling, How is XGBoost & Gradient Boosting evaluated in practice, What tools are commonly used for XGBoost & Gradient Boosting

Predictive Modeling topics: Introduction to Predictive Modeling Time Series Forecasting Regression-Based Prediction
All 7 XGBoost & Gradient Boosting questions