Glossary term
What is Training (fitting)?
In Apex Flow Academy, "Training (fitting)" means: The learning step, where the model studies rows whose answers are already known. It is taught in Machine Learning With Python: From Zero to a Working Model. Related terms include Row, Predicting, Label (target) and Regression. Every Apex Flow Academy course lists the official sources it checked.
- 1 course teaches it
- plain-word definition
The facts
What is Training (fitting)?
The learning step, where the model studies rows whose answers are already known.
Where is Training (fitting) taught?
Training (fitting) is defined in Machine Learning With Python: From Zero to a Working Model.
Which lessons cover Training (fitting)?
These lessons name it in their title or objectives:
- Machine Learning With Python: From Zero to a Working Model, lesson 1.1: A model is a pattern learned from examples
- Machine Learning With Python: From Zero to a Working Model, lesson 2.1: Hold back an exam: the train-test split
- Machine Learning With Python: From Zero to a Working Model, lesson 2.2: Fill the blanks using only the training rows
- Machine Learning With Python: From Zero to a Working Model, lesson 2.4: Put numbers on the same scale
Which terms are related to Training (fitting)?
Next to Training (fitting) in the course glossaries: Row, Predicting, Label (target), Regression, Feature, Classification, Model and Baseline.
RowPredictingLabel (target)RegressionFeatureClassificationModelBaseline
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 Training (fitting)?
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.