Logistic regression is used to analyze the relationship between a dichotomous dependent variable and one or more categorical or continuous independent variables. It specifies the likelihood of the response variable as a function of various predictors. The model expressed as , where refers to the parameters and represents the independent variables. The , or log … Continue reading Logistic Regression in R – Part One
I don’t normally work with personal identifiable information such as emails. However, the recent data dump from Ashley Madison got me thinking about how I’d examine a data set composed of email addresses. What are the characteristics of an email that I’d look to extract? How would I perform that task in R? Here’s some … Continue reading Examining Email Addresses in R
Not too long ago, I was on the job market looking for work as an applied statistician or data scientist within the the online marketing industry. One thing I’ve come to expect with almost every company is some sort of homework assignment or challenge where a spreadsheet would be presented along with some guidelines on … Continue reading Homework during the hiring process…no thanks!
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