Hey /r/MachineLearning ,
I'm starting a project soon that will require some supervised machine learning. the target variable is severely right skewed. The target looks like it almost follows a Poisson distribution, even though its not count data. My features will be almost 100% categorical.
This is the first time I've really worked on a problem such as this. My background is in basic econometrics where assumptions of normally distributed everything is really never violated.
Are there any sources out there for techniques or algorithms that work particularly well in a case such as mine?
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