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Feature Engineering in Practice
Introduction So far in this masterclass, we’ve explored individual feature engineering techniques—handling missing data, encoding categories, scaling features, creating new variables, and reducing dimensionality.In real-world machine learning project...
uplatz.hashnode.dev3 min read
#feature-pipelines#automated-features#featuretools#ml-best-practices#feature-engineering#machine-learning#data-preprocessing#data-leakage-extortion#cross-validation#model-performance
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