Various machine learning models include Naive Bayes, KNN, Random Forest, Boosting, AdaBoot, Linear Regression, and more. However, the model you must pick depends on the situation or the project ...

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 ...

In the field of machine learning, linear regression can be considered a type of supervised machine learning. In this use of the method, the model learns from labeled data (a training dataset), fits ...

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

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...