gradient-boosting-regression

Description: Gradient boosting regression sequentially builds models to improve predictions by correcting errors made by previous models.

Key Points:

• Highly accurate and efficient.
• Can handle different types of data.
• Prone to overfitting if not properly tuned.

Applications: Housing price prediction, customer lifetime value prediction, demand forecasting.