Gamma Regression: The gamma distribution is used to model non-negative data that has an inherent right skew, such as income.
In many data generation processes for count data, it is possible that a lot of observations will have a count of zero.
The poisson distribution is specified by one parameter lambda that represents both the mean and variance of the distribution.
Poisson regression uses the following cost function:
Logistic regression uses a logistic loss function, where the cost for a single observation is represented by:
Pros:Through a simple transformation, much of the interpretability and intuition of linear regression is preserved
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