Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks.

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, ...

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams ...

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.

Ji Zhu, Trevor Hastie, Kernel Logistic Regression and the Import Vector Machine, Journal of Computational and Graphical Statistics, Vol. 14, No. 1 (Mar., 2005), pp. 185-205 ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

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