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This is a simple Linear Regression model implemented in PyTorch. It demonstrates how to generate synthetic data, train a model, visualize predictions, and track training and test loss over epochs. The model parameters (weights and bias) can be saved and loaded for later use. Ideal for learning the basics of PyTorch and regression.

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PyTorch Linear Regression 🚀

Learn how to build a linear regression model from scratch using PyTorch.

What you'll see here:

Creating a linear regression model with nn.Module
Training the model on synthetic data
Plotting predictions and visualizing train/test loss
Saving & loading model weights

Quick Start

pip install torch torchvision torchaudio

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For feedback or questions, contact: [email protected]

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This is a simple Linear Regression model implemented in PyTorch. It demonstrates how to generate synthetic data, train a model, visualize predictions, and track training and test loss over epochs. The model parameters (weights and bias) can be saved and loaded for later use. Ideal for learning the basics of PyTorch and regression.

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