5 Types of Regression and their properties – Towards Data Science

Linear and Logistic regressions are usually the first modelling algorithms that people learn for Machine Learning and Data Science. Both are great since they're easy to use and interpret. However, their inherent simplicity also comes with a few drawbacks and in many cases they're not really the best choice of regression model. There are in fact several different types of regressions, each with their own strengths and weaknesses. In this post, we're going to look at 7 of the most common types of regression algorithms and their properties. We'll soon find that many of them are biased to working well in certain types of situations and with certain types of data.