Tutorials

Step-by-step tutorials for building complete applications with HoloVec.

These tutorials walk you through real-world applications from start to finish, showing you how to combine models, encoders, and techniques to solve practical problems.

Tutorial Overview

Each tutorial includes:

  • Complete working code - Copy and run immediately

  • Step-by-step explanations - Understand every decision

  • Best practices - Learn optimal patterns

  • Extensions - Ideas for going further

Available Tutorials

Text Classification

Tutorial: Text Classification - Build a complete text classifier from scratch

What you’ll learn:

  • Encoding text with n-grams

  • Training with example documents

  • Classifying new text

  • Evaluating accuracy

  • Optimizing performance

Time: 20-30 minutes

Prerequisites: Basic Python, understanding of text classification

Recommender System

Tutorial: Building a Recommender System - Create a content-based recommendation engine

What you’ll learn:

  • Encoding multi-feature items (price, category, ratings)

  • Building product representations

  • Finding similar items

  • Implementing collaborative filtering patterns

  • Scaling to large catalogs

Time: 20-30 minutes

Prerequisites: Basic Python, familiarity with recommendation systems

Next Steps

After completing these tutorials:

See Also