Application of Linear Regression to Real Estate
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Keywords:
Machine learning, Supervised learning, Linear regressionAbstract
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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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.