What you’ll learn
- The fundamentals of Recommendation Engines, including collaborative filtering.
- Setting up the environment with Anaconda, downloading datasets, and using the Surprise library.
- Implementing cross-validation models for training and testing predictions.
- Developing functions for making movie predictions and creating a basic Book Recommender.
- Exploring advanced topics like content-based recommendation and feature extraction.
- Building an Advanced Book Recommender with hybrid models and user-specific recommendations.
- Developing a Movie Recommendation Engine, covering simple and content-based recommenders.
- Throughout the course, students will gain practical experience through hands-on projects, enhancing their skills in building effective recommendation systems.
How to Enroll AI Mastery: Recommendation Engines Unleashed course?
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