Machine learning revolves around several core algorithmic frameworks to achieve results and produce models that are useful, including neural networks, linear and logistic regression, clustering ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...