The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

Predictive models progressing In the past, a lack of data and inadequate processing power rendered predictive analytics infeasible. Times have changed. As technology and innovation drive forward, ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Motivated by this speedup, we propose modeling logistic regression problems algorithmically with a mixed integer nonlinear optimization (MINLO) approach in order to explicitly incorporate these ...

Anthony Y. C. Kuk, Jialiang Li, A. John Rush, Variable and threshold selection to control predictive accuracy in logistic regression, Journal of the Royal Statistical Society.