Category Archives: Data Science

Logistic Regression Is Still King: Here’s Why

In a world filled with gradient boosting, deep learning, and AutoML tools, logistic regression can feel almost embarrassing to mention.

It’s old.
It’s simple.
It’s taught in every intro course.

Over the past decade, data scientist has become one of the most attractive titles in tech.

It promises impact, influence, and technical depth.
It suggests working on hard problems, building models, and shaping decisions with data.

If you’ve worked in BI or analytics long enough, you’ve probably heard people talk about models as if they were something mysterious.

“Once we build a model, we can predict this.”
“The model says this user will churn.”
“We need a better model for this problem.”