---
title: "Regression"  
description: "Regression"  
author: "Anonymous User"  
published: 2018-06-25  
updated: 2018-06-26  
canonical: https://www.mindstick.com/forum/34545/regression  
category: "artificial intelligence"  
tags: ["regex", "artificial intelligence"]  
reading_time: 1 minute  

---

# Regression

[Regression in Machine](https://www.mindstick.com/forum/160616/difference-between-classification-and-regression-in-machine-learning) [Learning](https://www.mindstick.com/articles/126221/instructional-design-for-elearning-why-it-is-so-important) ?

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## Replies

### Reply by Prakash nidhi Verma

[Regression](https://www.mindstick.com/blog/304034/regression-and-classification-in-machine-learning-difference) in ML:

It is a parametric method in reinforcement learning (RL). Supervised learning problems can be further grouped into Regression and Classification problems. Both problems have worked on the construction of a perfect model that can predict the value of the dependent attribute from the attribute variables.

![Regression](https://www.mindstick.com/mindstickforums/b1e4647b-a1b5-490d-a9ad-c5666395d3de/images/0e278894-688d-4c15-9d76-55b4605ba55e.png)\

In supervised learning we have more unstructured data (meaningless, missing value, unknown data) and we apply our algorithms on that and get results or conclusion.

Type of Regression :

1. Simple

- Linear

- Non Linear

2. Multiple

- Linear

- Non Linear

![Regression](https://www.mindstick.com/mindstickforums/b1e4647b-a1b5-490d-a9ad-c5666395d3de/images/3b00e642-a0fd-4bed-8194-c6277c19d061.jpg)\


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Original Source: https://www.mindstick.com/forum/34545/regression

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