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What is Feature Extraction Methods

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Answer

Feature extraction methods create new, more useful features from raw data by combining or transforming the original variables.
Real-world example A team extracts a new feature called total spend per visit by combining total purchase amount and number of visits in a customer dataset.

Common follow-ups: What is AI Data Preparation & Feature Engineering, How is Feature Extraction Methods evaluated in practice, What tools are commonly used for Feature Extraction Methods

AI Data Preparation & Feature Engineering topics: Data Cleaning for AI Models Handling Missing Data Feature Scaling & Normalization
All 7 Feature Extraction Methods questions