Glossary term
What is Grid search?
In Apex Flow Academy, "Grid search" means: Trying every combination of settings from lists you give, scoring each with cross-validation. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include Hyperparameter, MAE, Cross-validation and R-squared (R2). Every Apex Flow Academy course lists the official sources it checked.
- 1 course teaches it
- plain-word definition
The facts
What is Grid search?
Trying every combination of settings from lists you give, scoring each with cross-validation.
Where is Grid search taught?
Grid search is defined in Machine Learning With Python: From Zero to a Working Model.
Which lessons cover Grid search?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 5.4: Tune settings without peeking
Which terms are related to Grid search?
Next to Grid search in the course glossaries: Hyperparameter, MAE, Cross-validation, R-squared (R2), Pipeline, Precision, Underfitting and Recall.
HyperparameterMAECross-validationR-squared (R2)PipelinePrecisionUnderfittingRecall
The hard questions, answered straight
Bold questions people really ask. Each answer comes from the course data or a settled Academy fact.
Do I need experience before I learn Grid search?
It depends on the course. Each course that teaches it lists its own prerequisites, and all are listed at beginner level:
- Machine Learning With Python: From Zero to a Working Model: Basic Python: variables, lists, dictionaries, functions, and running a .py file from a terminal.