Name: Project on Recommendation Engine - Advanced Book Recommender
Brand: EDUCBA
Availability: OnlineOnly
Rating: 4.8 (10 reviews)

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4.8

stars

10 ratings

About the Course

This project-based course equips learners with the skills to design, develop, and implement a personalized book recommendation system using Python. Spanning two core modules, the course introduces foundational concepts of collaborative and content-based filtering and builds toward a functional hybrid model. Learners will begin by analyzing user data, constructing user-item interaction matrices, and evaluating baseline models. They will then apply advanced data handling techniques using libraries like Pandas and NumPy, and integrate multiple recommendation strategies into a single hybrid engine. Through practical lessons, coding exercises, and quizzes, learners will progressively apply machine learning logic, synthesize similarity computations, and construct real-world recommendation systems that combine user behavior with item features. By the end of the course, learners will be able to confidently build scalable recommendation pipelines tailored for dynamic, user-centric applications....

Top reviews

Aug 8, 2025

Insightful project showcasing advanced recommendation techniques—leverages user behavior and algorithms to deliver personalized book suggestions effectively.

Aug 12, 2025

Well-designed project demonstrating advanced techniques to build an accurate and personalized book recommendation engine.

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1 - 10 of 10 Reviews for Project on Recommendation Engine - Advanced Book Recommender

By Jayesh M

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Aug 8, 2025

Insightful project showcasing advanced recommendation techniques—leverages user behavior and algorithms to deliver personalized book suggestions effectively.