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The Search for the Sweet Spot in a Linear Regression with Numeric Features Vinod Chugani MachineLearningMastery.com

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Consistent with the principle of Occam’s razor, starting simple often leads to the most profound insights, especially when piecing together a predictive model. In this post, using the Ames Housing Dataset, we will first pinpoint the key features that shine on their own. Then, step by step, we’ll layer these insights, observing how their combined […]

The post The Search for the Sweet Spot in a Linear Regression with Numeric Features appeared first on MachineLearningMastery.com.

“}]] [[{“value”:”Consistent with the principle of Occam’s razor, starting simple often leads to the most profound insights, especially when piecing together a predictive model. In this post, using the Ames Housing Dataset, we will first pinpoint the key features that shine on their own. Then, step by step, we’ll layer these insights, observing how their combined
The post The Search for the Sweet Spot in a Linear Regression with Numeric Features appeared first on MachineLearningMastery.com.”}]]  Read More Data Science 

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