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The search for the ‘sweet spot’ in linear regression with numerical features
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The search for the ‘sweet spot’ in linear regression with numerical features

The search for the ‘sweet spot’ in linear regression with numerical features

In keeping with Occam’s razor, starting simple often leads to the most profound insights, especially when building a predictive model. In this post, using the Ames Housing Dataset, we’ll first identify key features that shine on their own. Then, we’ll gradually layer these insights on top of each other, observing how they combine (…)

The post The search for the optimal value in a linear regression with numerical features appeared first on MachineLearningMastery.com.