Gradient Boosting Regression with Python

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If you check out Gradient Boosting Machines by StatQuest with Josh Starmer, part 2 of that 4 video series does a deep dive into the math behind it for regression (part 3 is the math details for gbm classification)

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Doesn't "regression model" imply that we must have some kind of equation of what we are predicting?

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