A curated list of resources dedicated to feature engineering techniques for machine learning, covering methods to extract and transform features for improved model performance.
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Awesome Feature Engineering provides resources for creating better features from raw data, a critical step that often determines machine learning model success.
The process of using domain knowledge to extract features from raw data via data mining techniques to improve machine learning algorithm performance.