Turn local data into trained prediction models.
What it does
Develops machine learning models with data preprocessing, training, evaluation, and deployment preparation.
When to use it
Use when asked to create a model, train a classifier, or build a machine learning pipeline.
How to use it
Give it a model-development request in a project; it creates a pipeline with preprocessing, training, and evaluation.
What you provide
- An existing project
What you need · 4
The initialization hook calls Python to check the core machine learning libraries; no version is specified.
The initialization hook checks for sklearn, and the supplied pipeline pattern imports its preprocessing and model-selection components.
The initialization hook checks that pandas is available as a core machine learning library.
The initialization hook checks that numpy is available as a core machine learning library.
Access · 0
No additional actions listed.