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Results tagged with feature-engineering
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user 127593
Feature engineering is the process of using domain knowledge of the data to create features for machine learning models. This tag is meant for both theoretical and practical questions regarding feature engineering, excluding questions asking for code, that would be off-topic on CrossValidated.
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Can you gain more information from derived variables compared to measured variables?
I am using principal component analysis for dimensionality reduction on a data set with many correlated variables, and then using the resulting principal component scores to perform LDA to discriminat …
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