7 Regression Techniques you should know!

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Written by SUNIL RAY

Overview

• Learn about the different regression types in machine learning, including linear and logistic regression
• Each regression technique has its own regression equation and regression coefficients
• We cover 7 different regression types in this article

Introduction
Linear and Logistic regressions are usually the first algorithms people learn in data science. Due to their popularity, a lot of analysts even end up thinking that they are the only form of regressions. The ones who are slightly more involved think that they are the most important among all forms of regression analysis.

The truth is that there are innumerable forms of regressions, which can be performed. Each form has its own importance and a specific condition where they are best suited to apply. In this article, I have explained the most commonly used 7 types of regression in data science in a simple manner.

Through this article, Sunil hope that people develop an idea of the breadth of regressions, instead of just applying linear/logistic regression to every machine learning problem they come across and hoping that they would just fit!

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