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IEEE/ICACT20230225 Slide.06        [Big Slide]	Oral Presentation
	in machine learning, Pre-processing involves some stages, including data cleansing, data transformation, and feature engineering. Feature engineering focuses on processing feature attributes from datasets, whose steps are creation, transformation, selection, and extraction. Extraction reduces the feature size so an algorithm can process it without changing the original correlation or relevant information.

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