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

Repository from Github https://github.comRenatoMaynard/Supervised-Machine-Learning-Models-Pytorch-Sklearn

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

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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

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

MIT License