This Solution Insight dives into Explorium's Data Enrichment Catalog and how accessing external data through our platform works.
Many compare feature engineering to an art and, as a result, almost no feature generation techniques, tools, or processes have been developed to streamline it. This art is more like an impossible task. The world of potential datasets, new features, and feature optimization is so vast that data scientists can’t fully explore the range of possibilities, which means losing out on potentially huge improvements to predictive models.
This art is hard to perfect manually, let alone achieve feature engineering automation that gets results, right?
Not when you have a powerful feature generation tool to infuse your art with science and ML-driven augmentation to generate newly discovered features, and improve your feature engineering pipeline.