Skip to content

Latest commit

 

History

History
20 lines (17 loc) · 1.15 KB

README.md

File metadata and controls

20 lines (17 loc) · 1.15 KB
Raw

Mini-Project-Linear_Regression

Task 2 - Answer the questions

Different types of regression

  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynominal Regression

How do the three methods differ?

  • Simple Linear Regression establishes the relationship between two variables using a straight line. It has only one x and one y variable.
  • Multiple Linear Regressions is the same as Linear Regressions, however it has multiple X colums
  • Polynomial Regression is a one of the types of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an nth degree polynomial.

In which type of projects each of them fits best?

  • If your dataset has only two colums, use the Linear Regression porject.
  • If your dataset has more than 2 features, use Multiple Linear Regression.
  • If you have multiple data samples with a lot of features with exponential or inverse eksponentiel, use Polynomial Regression.