Glossary term
What is Hyperparameter?
In Apex Flow Academy, "Hyperparameter" means: A setting you choose before training, such as the depth of a tree. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include Cross-validation, Grid search, Pipeline and MAE. Every Apex Flow Academy course lists the official sources it checked.
- 1 course teaches it
- plain-word definition
The facts
What is Hyperparameter?
A setting you choose before training, such as the depth of a tree.
Where is Hyperparameter taught?
Hyperparameter is defined in Machine Learning With Python: From Zero to a Working Model.
Which terms are related to Hyperparameter?
Next to Hyperparameter in the course glossaries: Cross-validation, Grid search, Pipeline, MAE, Underfitting, R-squared (R2), Overfitting and Precision.
Cross-validationGrid searchPipelineMAEUnderfittingR-squared (R2)OverfittingPrecision
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 Hyperparameter?
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.