Abstract
Multiple linear regression is one widely used approach in machine learning that can be highly helpful for predicting house prices. It enables the simulation of the relationship between the target variable and a number of input variables such as the number of bedrooms, the size of the property, and location, among others. One may utilize the model that results from training it on a dataset with known home prices and their corresponding i…
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