Watch this on-demand webinar to learn how data enrichment and the use of pre-defined features can simplify feature engineering, make it more science than art, and eventually improve model quality.
Predictive modeling success hinges on selecting the features that are most likely to affect the desired outcome and sub-optimal featuring engineering is one of the culprits behind poorly performing models. In this session, we will discuss how a small number of carefully curated features can successfully serve as a proxy of predictive characteristics across a wide range of applications.
Anindya Datta, CEO - Mobilewalla
Sean Welch, Host and Producer - Data Science Central
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