Explore new ways to refine feature engineering in this hands-on workshop that transforms the process into a systematic and procedural approach. Perform an end-to-end model building workflow, with emphasis on feature engineering using Anovos, an open-source library supporting data ingestion, cleansing, analytics, feature generation, and transformation. Gain insights from industry experts Anindya Datta and Varun Chugh as they demonstrate how to streamline the machine learning workflow, which typically consumes 70-80% of the process. Suitable for practitioners with knowledge of machine learning, data engineering, or data science and basic Python skills.