Predicting Customer Churn Using Logistic Regression

In today’s guest post, a B.A. Econ student at MSE, Ms.Maahika Mathur explains the logistic regression problem using the classic Telco Customer Churn dataset. I usually cover this problem in the Probability for GenAI course, co-taught with Dr. Ajay Shenoy.
I have a Python notebook that demonstrates both the mathematics and the implementation behind this method. Maahika studied that notebook and offered to write an expository article expanding on it.

In case you’d like to download and read it at leisure:
📄 Download Maahika’s illustrated PDF version