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What is gradient boosting?
in Data Science by Diamond (51,000 points) | 6 views

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Gradient boosting is an ensemble method for regression and classification problems. Gradient boosting uses regression trees for prediction purposes and builds the model iteratively by fitting a model on the residuals. It generalizes by allowing optimization of an objective function.
by Diamond (51,000 points)

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