PyTorch DataLoader for Recommendation System: Loading and Preparing User-Item Data | Tutorial #1

In this first video of the series, we tackle one of the most crucial steps in building a recommendation system: data loading and preparation. Using PyTorch, you’ll learn how to handle user-item interaction data, split datasets for training and validation, and efficiently batch data for your models.

What you'll learn:
✔️ Custom PyTorch Dataset class creation
✔️ Efficient data loading and batching with DataLoader
✔️ Dataset splitting for training and validation
✔️ Data preprocessing for recommendation systems

This is the foundation for the entire series, so don’t miss it! Like, subscribe, and stay tuned for more videos in the series.

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