ODSC Webinar | Iterative Feature Engineering for Superior Machine Learning Models

This webinar explores the role of feature engineering in improving machine learning models. It discusses the iterative process of refining the feature set using a dataset and incorporating domain-specific knowledge. Four experiments are presented, demonstrating strategies to enhance model accuracy and reduce error.
Attendees will gain insights into effective approaches for improving predictive model performance through iterative feature engineering.
- Learn how to apply domain knowledge and experiment with feature types
- Discover what iterative feature engineering is and why it matters
- See practical, hands-on use of iterative feature engineering
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