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Lập trình cùng ↗AI Python Zero-to-Hero: Build an AI Movie Night Recommendation Tool
Pieter Moors, a Senior Data Scientist at DataCamp, shows you how to build an AI-powered movie night recommendation tool.
Pieter Moors
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Recommendation System for Streaming Platforms Tutorial
In this Python tutorial, explore movie data of popular streaming platforms and build a recommendation system.
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Beginner Tutorial: Recommender Systems in Python
Build your recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender systems.

buổi lập trình cùng giảng viên
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Recommendation engines are at the heart of personalized user experiences, and building one for movie recommendations is a great way to learn the underlying data science and machine learning techniques. By combining these techniques with AI-assisted coding tools, you can streamline the development process and create practical, personalized tools that are both fun and functional.
In this second session of our AI Python Zero-to-Hero code-along series, Pieter Moors, a Senior Data Scientist at DataCamp, will show you how to build an AI-powered movie night recommendation tool. You’ll learn how recommendation engines work, explore the data science and machine learning techniques behind them, and use AI to generate scikit-learn Python code for making movie recommendations. This session is perfect for data scientists and machine learning scientists looking to apply their skills to build creative and useful tools.