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1 year ago in Machine Learning By Payal G

What is the relationship between feature engineering, data preprocessing, and checking feature importance?

How are data preprocessing, feature engineering, and checking feature importance interconnected?

DataPreprocessing

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By Pravin Patel Answered 4 months ago

Data preprocessing (cleaning, normalization) is the first step. Feature engineering is a creative step within preprocessing to construct new, informative features. Feature importance is typically checked during or after modeling; it's an analytical result that can guide further rounds of feature selection or engineering, creating an iterative loop to refine the model.

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