Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Linear regression in machine learning is considered as the basis or foundation in machine learning. This video explains the entire maths and the algorithm behind What is Linear Regression in ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Unlike many machine learning regression techniques, NW kernel regression does not do any explicit training to produce a mathematical prediction equation. NW kernel regression predictions are generated ...