Engineer Features and Evaluate Models for Production

Engineer Features and Evaluate Models for Production is an intermediate course for machine learning practitioners and data scientists who are ready to move beyond notebooks and build production-grade ML systems. Getting a model to work once is easy; making it reliable, reproducible, and efficient in production is the real challenge. This course provides the engineering discipline to bridge that gap. You will learn to build robust, reproducible feature engineering pipelines using scikit-learn's ColumnTransformer to handle mixed data types—numeric, categorical, and text—in a single, elegant wo…