Logistic regression is a machine learning technique for binary classification. For example, you might want to predict the sex of a person (male or female) based on their age, state where they live, ...

Logistic Regression from Scratch Using Raw Python The fundamental technique has been studied for decades, thus creating a huge amount of information and alternate variations that make it hard to tell ...

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 ...

Regression can be used on categorical responses to estimate probabilities and to classify.

Many papers in hospitality and tourism research use logistic regression as the multivariate estimation strategy. When the results from these models are presented, only the logistic regression ...

David Muchlinski, David Siroky, Jingrui He, Matthew Kocher, Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data, Political Analysis, Vol. 24, No. 1 ...

What are the advantages of logistic regression over decision trees? This question was originally answered on Quora by Claudia Perlich.

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.