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Poisson Regressor Overview by swethasivakumar78 is a document available to read on EtoBox.

Poisson regression is a generalized linear model used for modeling count data, assuming a Poisson distribution for the response variable. The algorithm involves training with maximum likelihood estimates, evaluating model fit, and interpreting coefficients for predictions. Additionally, the document outlines the Gradient Boosting algorithm, which builds predictive models sequentially to minimize errors and improve accuracy through iterative learning.

Author

swethasivakumar78

Language

EN