Modeling workflows: Data Tools worked examples
Connect preparation, fitting and evaluation without crossing data boundaries.
Modeling workflows
Connect preparation, fitting and evaluation without crossing data boundaries.
scikit-learn fit, transform and predict: keep learned state inside training
Run an imputer-scaler-classifier pipeline, inspect fitted statistics and verify that prediction does not refit preprocessing on held-out data.
tutorial · 4 min readMachine learning code in Python: your first model in about 30 lines
A complete, runnable scikit-learn example: load a built-in dataset, split it, beat a baseline, fit a model and evaluate it, with every line explained.
tutorial · 8 min read