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