Project on Recommendation Engine - Advanced Book Recommender
$49
ENROLL NOWCourse Overview
What You'll Learn
- 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.
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.
Course FAQs
Is this an accredited online course?
Accreditation for 'Project on Recommendation Engine - Advanced Book Recommender' is determined by the provider, EDUCBA. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Project on Recommendation Engine - Advanced Book Recommender' on the EDUCBA online class platform, where you can complete your registration.
