Regression analysis usually assumes that the data follows a certain distribution, such as normal or binomial, while machine learning does not make such assumptions and can handle any type of data.

FinRegLab today released new empirical research demonstrating that adopting machine learning techniques and incorporating ...

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 ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Logistic regression is an approach to supervised machine learning that models selected values to predict possible outcomes. In this course, Notre Dame professor Frederick Nwanganga provides you with a ...

Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial intelligence, including prediction algorithms and neural networks. In machine ...

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 ...