Application of Linear Regression to Real Estate
1Rocking Horse Ct, Dublin, California, United States.
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.
Keywords: Machine learning, Supervised learning, Linear regression.
Cite this article as: Archit Kumar, Application of Linear Regression to Real Estate, Int. J. Math. And Appl., vol. 9, no. 3, 2021, pp. 125-128.References
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