So I have recently found myself in between jobs (thanks Covid) and now I partake in one of everyone’s most favorite activity in life and that is finding a job! I know..…you can’t contain your jealousy….we all long to send out 100’s of resumes with no response, writing countless unique cover letters specific to the 100+ jobs we are applying to, running to find a quiet space while out in public when a recruiter finally calls to setup an interview, and rearranging your whole life to accommodate that interview. Furthermore…..don’t you just loooove when you get to interview three in…


Cross Validation is a very necessary tool to evaluate your model for accuracy in classification. Logistic Regression, Random Forest, and SVM have their advantages and drawbacks to their models. This is where cross validation comes in. When you cross validate, you take a number of different test and train data, look at the average and then get a score for your model. As a practice I typically fit Logistic Regression, Random Forest, and SVM to each model but what if I get a similar score for each model? A method of cross validation can tell you which one of your…


Ok so it wasn’t my first audition, BUT it was my first agent booked audition..yay me. So the specs were, mixed black male, athletic build, tall and strapping. I was a shoe in, even though I’m not mixed as I have two black parents, but who cares..it’s Hollywood…as long as you look the part you’re good. I’ve gone on plenty of auditions were they were looking for Cuban, Puerto Rican, and I even got to play someone from the Middle East once…that was fun too, despite the 3am call time and terrible craft service food selections.

So anyhoo, I decided…


Yes You!…and you too! We have been practicing Data Science ever since we were babies. If you go through Piaget’s stages of cognitive development you’ll see that around two yeas old we start associating words with objects. Sound familiar?….. Variable = object…… apple = shiny red round thing that I can eat…… a = apple! Yes…and it’s those of us that develop obsessions with numbers and stats like me that go on to develop careers in Data Science!

Data Science solves four main problems that we have been solving all of our lives on one level or another. Data Science…


“I want to be a DATA Scientist” said no 5 year old growing up in 1984! Especially not me, the kid whose mind was often off in never never land dreaming. Number one, maybe because the field didn’t exist as we know it today and as children, were we really thinking about merging Mathematics, Statistics, Business, and Computers? Number 2, I had already decided that I wanted to be an entertainer before I got my first Apple Computer.

Charles Pryor

Data Scientist/Engineer

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