Gradient Boosting (XGBoost, CatBoost)

Master Gradient Boosting, a powerful ensemble learning method used for both classification and regression. Learn how algorithms like XGBoost and CatBoost improve prediction accuracy by combining weak learners. See their applications in finance, marketing, and more, and implement them using Python libraries like XGBoost and CatBoost.

Introduction

Explore Gradient Boosting, a powerful machine learning technique that combines weak learners to create a strong predictive model, ideal for tasks like classification and regression.

Theory

Dive into the theory behind Gradient Boosting, exploring how it sequentially builds models using gradient descent to minimize errors, and learn about the key hyperparameters that influence its performance.

CatBoost

6 items

LightGBM

7 items

XGBoost

6 items

catboost

1 item

xgboost

1 item