7 Types of Regression Techniques you should know

7 Types of Regression Techniques you should know


This article was posted by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience in the Indian Insurance industry.
Introduction
Linear and Logistic regressions are usually the first algorithms people learn in predictive modeling. 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 amongst 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 forms of regressions in a simple manner. Through this article, I also hope that people develop an idea of the breadth of regressions, instead of just applying linear / logistic regression to every problem they come across and hoping that they would just fit!

Table of Contents

What is Regression Analysis?
Why do we use Regression Analysis?
What are the types of Regressions?
Linear Regression
Logistic Regression
Polynomial Regression
Stepwise Regression
Ridge Regression
Lasso Regression
ElasticNet Regression

How to select the right Regression Model?

To check out all this information, click here. 
DSC Resources

Free Book: Applied Stochastic Processes
Comprehensive Repository of Data Science and ML Resources
Advanced Machine Learning with Basic Excel
Difference between ML, Data Science, AI, Deep Learning, and Statistics
Selected Business Analytics, Data Science and ML articles
Hire a Data Scientist | Search DSC | Classifieds | Find a Job
Post a Blog | Forum Questions


Link: 7 Types of Regression Techniques you should know