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GitHub / TempeHS / Machine_Learning_OOP_Implementation_Examples

A Jupyter Notebook collection designed to support students implement Programming for automation in the NESA Software Engineering Syllabus specifically using an OOP to make predictions.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TempeHS%2FMachine_Learning_OOP_Implementation_Examples
PURL: pkg:github/TempeHS/Machine_Learning_OOP_Implementation_Examples

Stars: 5
Forks: 34
Open issues: 0

License: other
Language:
Size: 4.33 MB
Dependencies parsed at: Pending

Created at: 5 months ago
Updated at: about 14 hours ago
Pushed at: about 14 hours ago
Last synced at: about 12 hours ago

Topics: jupyter-notebook, linear-regression, logistic-regression, machine-learning, neural-networks, polynomial-regression

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