Hyperparameter Tuning in Python Cheatsheet

Parameters are learned from data; hyperparameters are the settings you choose before training, and tuning is the search for the best ones. This cheatsheet gathers the scikit-learn toolkit on one page, from GridSearchCV and RandomizedSearchCV to coarse-to-fine search and pipeline tuning, each snippet annotated line by line. Keep it open while you work, or save the image and pin it nearby.

For the full background, read the guide to hyperparameter tuning in Python. To practise, work through the 10 code-along examples.

Hope this is useful, Andrei.