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The strategic use of a sequential feature selector for house price predictions
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The strategic use of a sequential feature selector for house price predictions

The strategic use of a sequential feature selector for house price predictions

To better understand house prices, simplicity and clarity in our models are essential. Our goal in this post is to show how simple but powerful techniques in feature selection and engineering can lead to the creation of an effective, simple linear regression model. Working with the Ames dataset, we use a Sequential Feature Selector (SFS) to identify (…).

The post The Strategic Use of a Sequential Feature Selector for House Price Predictions appeared first on MachineLearningMastery.com.