GitHub / RenatoMaynard / Supervised-Machine-Learning-Models-Pytorch-Sklearn
This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models
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PURL: pkg:github/RenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn
Stars: 5
Forks: 0
Open issues: 0
License: mit
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Size: 1.95 KB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 7 days ago
Topics: applied-machine-learning, classification, data-preprocessing, deep-learning, feature-engineering, machine-learning, ml-models, ml-pipeline, model-comparison, model-evaluation, python, pytorch, regression, scikit-learn, supervised-learning-algorithms
Funding Links https://github.com/sponsors/RenatoMaynard