Explore the essentials of feature engineering, from foundational techniques to advanced transformations. Learn feature selection and reduction techniques to enhance data quality, streamline workflows, and optimize model performance.
Master the basics of feature engineering by learning to clean, handle missing data, scale, and normalize datasets. Prepare raw data for transformation and analysis, setting a solid foundation for advanced data engineering tasks.
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18 practices
Transform raw data into meaningful features using encoding, binning, and interaction terms. Enhance dataset representation by uncovering relationships within the data, paving the way for more insightful analysis and model building.
Identify impactful features, reduce dimensionality, and streamline datasets for analysis. Learn techniques to enhance model efficiency and performance by focusing on the most relevant data attributes.
