Poisson Regression | Modelling Count Data | Statistical Models

In this video you will learn about what is Poisson regression and how can we use Poisson Regression to model count data. Poisson regression is used when the target variable is count of some events.It is also known as the Log- Linear model.
The Log- Linear model is a specialized case of the Generalized Linear Model for Poisson, Gamma or Exponentially distributed data.

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[davidthehudson]

@4:20 wouldn't count data be numerical and *non*-continuous?

[shaimaayassin]

Thank you for this great presentation please how to do the ridge regression for Poisson regression model in r

[solomondensu]

Thanks for the insightful presentation. Please, how is model training and testing done?

[amitgeneration]

Thank Sir, have one question in that data "p" what if the num_awards has some negative numbers then how poisson is gonna work in R

[rakeshchand]

The final interpretation was not clear. So what does the outcome say?

[AGhulam]

if the count is in percentages, can we use the same model ? like 50 percent of people hold cars etc