Three Simple Things About Regression That Every Data Scientist Should Know

Understanding these three things will improve how you go about linear and generalized linear modeling

I’m more of a mathematician than a data scientist. I can’t bring myself to execute methods blindly, with no understanding of what’s going on under the hood. I have to get deep into the math to trust the results. That’s a good thing because it’s very easy nowadays to just run models and go home.

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Keith McNulty

Keith McNulty

Expert and Author in Applied Mathematics, Data Science, Statistics. Also writes History, Science, Culture. Find me on LinkedIn or Twitter or keithmcnulty.org