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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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Factors or dummy variables? Which approach is better for Machine Learning in R?
I am a beginner in Machine Learning. I have been inspecting some kernels at Kaggle. Some of these answers use factors in their predictive models while others split them into dummy variables (this happ …