This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard techniques, and so particle swarm optimization training is used. The goal of a machine learning regression ...

Instrumental Analytical Chemistry, University of Duisburg-Essen, Universitätsstraße 5, Essen 45141, Germany Centre for Water and Environmental Research, University of Duisburg-Essen, ...

The MultiHazard R package provides tools for stationary multivariate statistical modeling such as of the joint distribution of MULTIple co-occurring HAZARDs.

Recently, a kernelized version of logistic regression has become very popular, because it allows non-linear probabilistic classification and shows promising results on several benchmark problems. In ...

Bivariate logistic regression was conducted to select candidate variables for multivariate logistic regression using crude association. Hence, sex, age, American Society of Anesthesiologist class, ...