Glossary term
What is Pipeline?
In Apex Flow Academy, "Pipeline" means: One object that chains preparation steps and a model, so fit and predict run everything in the right order. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include Underfitting, Cross-validation, Overfitting and Hyperparameter. Every Apex Flow Academy course lists the official sources it checked.
- 1 course teaches it
- plain-word definition
The facts
What is Pipeline?
One object that chains preparation steps and a model, so fit and predict run everything in the right order.
Where is Pipeline taught?
Pipeline is defined in Machine Learning With Python: From Zero to a Working Model.
Which lessons cover Pipeline?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 5.1: Pipelines: prepare and predict in one object
- Machine Learning With Python: From Zero to a Working Model, lesson 6.2: Save your model and use it on a new row
Which terms are related to Pipeline?
Next to Pipeline in the course glossaries: Underfitting, Cross-validation, Overfitting, Hyperparameter, Standardising (scaling), Grid search, One-hot encoding and MAE.
UnderfittingCross-validationOverfittingHyperparameterStandardising (scaling)Grid searchOne-hot encodingMAE
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 Pipeline?
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.