Glossary · Phase 3 · Machine learning
Data drift
When the data a model sees in use slowly stops looking like the data it learned from, so its accuracy quietly falls.
Try it now
Every scikit-learn project follows this shape. Fit and predict look the same for every model.
Learn it properly
The scikit-learn workflow · Fit, predict and evaluate with the standard ML library. About 35 minutes.
Other terms from the same lesson
- ColumnTransformer: A scikit-learn step that prepares different columns in different ways, such as scaling numbers and one-hot encoding categories.
- estimator: scikit-learn's name for anything with a fit method: models, scalers and whole pipelines.
- scikit-learn: A popular Python library of ready-made machine-learning models and tools.
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