Application of Linear Regression to Real Estate


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Authors

  • Archit Kumar Rocking Horse Ct, Dublin, California, United States

Keywords:

Machine learning, Supervised learning, Linear regression

Abstract

Linear regression is a technique to create a model from given data, where the data is a set of examples and the information from each example consists of a set of features and a target variable. The model can then be used to predict the target variables of new examples from their features. We review this technique and apply it to a problem in business to illustrate how it can help making good business decisions.

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Published

15-09-2021

How to Cite

Archit Kumar. (2021). Application of Linear Regression to Real Estate. International Journal of Mathematics And Its Applications, 9(3), 125–128. Retrieved from http://ijmaa.in/index.php/ijmaa/article/view/52

Issue

Vol. 9 No. 3 (2021)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.