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This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.
The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.
Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.
Machine learning offers new way of designing chiral crystals Logistic regression analysis model predicts ideal chiral crystal Date: April 10, 2018 Source: Hiroshima University Summary: Engineers ...
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 ...
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, ...