Design a systematic feature engineering pipeline that transforms raw data into high-signal features for your ML model with automated validation and documentation.
## CONTEXT Feature engineering accounts for 60-80% of the performance gains in most machine learning projects — yet it remains the most artisanal and least standardized phase of the ML lifecycle. Teams that invest in systematic feature engineering pipelines achieve 20-35% better model performance compared to teams…
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