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This tutorial explains how to use the linear regression model to predict a house's price using housing datasets (the link is in the description). Preprocessing, selecting the target variable, and splitting the data into a training and test set are done. After the training data has been normalized, a linear regression model is applied to it. Performance is measured on both the training and test sets. The outcomes are explained in further detail.

housing dataset:
https://www.kaggle.com/datasets/ashyd...

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