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→What are the types of feature engineering?
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Created page with "==Introduction== Feature engineering is a critical process in machine learning that involves selecting, extracting, and transforming relevant features or variables from raw data to improve the accuracy and performance of machine learning models. Feature engineering is a complex and challenging process that requires domain knowledge, creativity, and expertise in data manipulation techniques. The objective of feature engineering is to transform raw data into a more suitabl..."
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