Build an AI Movie Night Recommendation Tool

Resources (including link to code along notebook): https://bit.ly/4akiggn Part 1: https://www.datacamp.com/code-along/ai-python-zero-to-hero-build-your-own-fitness-tracker Part 3: https://www.datacamp.com/code-along/ai-python-zero-to-hero-build-a-customer-feedback-analyzer 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 hands-on code-along session, 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.