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GitHub / Warpedro1 / intro_machine-learning_classification

This Jupyter Notebook serves as a comprehensive guide to performing support vector machine (LinearSVC) classification and calculating accuracy scores for machine learning tasks. It provides step-by-step instructions and code examples for building, training, and evaluating a LinearSVC classifier

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Warpedro1%2Fintro_machine-learning_classification

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 715 KB
Dependencies parsed at: Pending

Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago

Topics: linearsvc-model, matplotlib-pyplot, numpy, pandas, python, seaborn, sklearn

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