Custom Transformers Are the Secret to Making ML Pipelines Work in Practice
A lot of data scientists stick to standard scikit-learn transformers like StandardScaler, OneHotEncoder, and SimpleImputer. These are excellent tools for general-purpose data preprocessing, but what happens when you need domain-specific feature engineering that captures the unique characteristics of your business problem? In my customer churn prediction project, I discovered that custom transformers are not just…