List of Regression techniques used in Machine learning|Regression Analysis

This post is about introduction to various types of regression analysis, in machine learning. Regression analysis helps in two ways one it helps in predicting value of dependent variable for independent variables , and other is find relationship between dependent and independent variables.So, let’s begins with definition.

What is Regression Analysis?

Regression analysis is predictive modelling technique in machine learning which gives the relationship between dependent and independent variables. For example if we want to predict number of accidents based on drivers who drink, Marks in particular subject based on number of hours spent on that etc. are use cases suited for regression.

Regression analysis is also used in XR,to make hand and motion tracking more robust and efficient.

Time saving tip ! :) Objective of this post is just list all common types of regression analysis with their basic definition.

Let’s explore various types of regression analysis :

1. Linear Regression

Linear regression establishes relationship between one or more independent variable and dependent variable using line equation.