Building a Movie Recommender System

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.

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.

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.