Modeling the Wine Dataset with PyTorch | CodeSignal Learn

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Modeling the Wine Dataset with PyTorch

Learn to model the Wine dataset with PyTorch in this detailed course. Start by preprocessing the data for PyTorch, then construct and train a multi-class classification model. Explore model evaluation with various metrics and plots to identify strengths and improvements. The course concludes with methods to save and deploy your model, maximizing PyTorch's features for practical application.

Python

PyTorch

Scikit-learn

4 lessons

20 practices

Less than 3 hours

Course details

Preprocessing the Wine Dataset for PyTorch

Loading the Wine Dataset

Splitting the Wine Dataset

Wine Dataset Feature Scaling

Converting Data to PyTorch Tensors

Preprocessing Wine Data for PyTorch

Previous Course Next Course: PyTorch Techniques for Model Optimization

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