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Feature Engineering Techniques

 

Feature Engineering TechniqueDescription
ImputationFilling missing values in data with appropriate values.
Normalization/ScalingScaling numerical features to a standard range.
EncodingTransforming categorical variables into numerical format.
One-Hot EncodingCreating binary columns for each category in a feature.
Label EncodingAssigning unique integers to each category in a feature.
BinningGrouping numerical values into bins or categories.
Feature ExtractionCreating new features from existing ones.
Polynomial FeaturesGenerating higher-degree polynomial features.
Logarithm TransformationApplying logarithmic function to features.
Interaction FeaturesCombining two or more features to create new ones.
Time-Based FeaturesExtracting date and time components from timestamps.
Text PreprocessingCleaning and transforming text data into numerical features.
Feature ScalingBringing numerical features to a common scale.
Feature SelectionSelecting the most relevant features for modeling.
AggregationSummarizing data at a higher level of granularity.
Domain-Specific EngineeringCrafting features based on domain knowledge.
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