LightGBM is a fast and efficient gradient boosting algorithm designed for strong performance on large datasets.
In this video, we explain LightGBM in a simple way:
what LightGBM is
how it relates to Gradient Boosting and XGBoost
what makes it faster
what leaf-wise tree growth means
when LightGBM is useful
why it can overfit if not controlled properly
AdaBoost focuses on hard examples. Gradient Boosting focuses on residual errors. XGBoost optimizes Gradient Boosting. LightGBM takes the idea further by focusing on speed, efficiency, and large-scale performance.
In the next video, we’ll continue with CatBoost.
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