Machine Learning
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Feature Engineering
Quick Definition
Creating and transforming input variables to improve performance
Full Definition
Using domain knowledge to create, select, and transform input variables to improve model performance.
Examples
interaction terms, encoding categoricals, scaling features
Related Terms
data-preprocessing
feature-selection
More Machine Learning Terms
PCA
Statistical technique reducing dimensionality via principal components
Ridge Regression
Regularized regression using L2 penalty to prevent overfitting
UMAP
Fast dimensionality reduction preserving local and global structure
Feature Selection
Identifying the most relevant features for model training
Random Forest
Ensemble of decision trees that votes on predictions
Dimensionality Reduction
Reducing feature count while preserving important information