Feature Engineering with Databricks and Unity Catalog / Blogs / Perficient

Feature Engineering is the preprocessing step used to make raw data usable as input to an ML model through transformation, aggregation, enrichment, joining, normalization and other processes. Sometimes feature engineering is used against the output of another model rather than the raw data (transfer learning). At a high level, feature engineering has a lot in […]