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Results tagged with feature-scaling
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user 118693
Feature scaling is a data pre-processing step where the range of variable values is standardized. Standardization of datasets is a common requirement for many machine learning algorithms. Popular feature scaling types include scaling the data to have zero mean and unit variance, and scaling the data between a given minimum and maximum value.
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When and how to use StandardScaler with target data for pre-processing
I am trying to figure out when and how to use scikit-learn's StandardScaler transformer, and how I can apply it to the target variable as well.
I've read this post and, while the accepted answer maint …
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