Building a Movie Recommender System
Build a Movie Recommender System with AI & Python
Created by DataLab, Bernd Schrooten
Discover how to create a movie recommendation engine using Python and AI tools. You'll explore real-world data, apply machine learning techniques, and build a system that delivers personalized movie suggestions. This hands-on project is a practical way to deepen your data science skills while working on an engaging application.
DataLab | Mar 2025 | 44 min
What You Will Learn
You'll start by exploring movie and ratings data, then move on to building different types of recommendation models. Each step involves hands-on coding, with AI-assisted tools helping you implement and refine your algorithms. By applying collaborative and content-based filtering, you'll create a fully functional movie recommender system from scratch.
Key Features
- Analyze movie data and user ratings to uncover viewing patterns and preferences
- Build collaborative and content-based recommenders for personalized suggestions
- Use AI-assisted coding tools to streamline development and tackle complex algorithms
Target Audience
Ideal for data scientists, machine learning enthusiasts, and Python developers ready to build practical AI projects. If you have a working knowledge of Python and basic data analysis, you'll be able to follow along and gain valuable experience in recommendation systems. Beginners with a strong interest in machine learning are also encouraged to join.
