This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.
25 Courses Diploma | CPD Certified | 250 CPD Points | Free PDF & Transcript Certificate | Lifetime Access
Free QLS Level 5 Hard Copy Certificate | 150 CPD Points | Installment Payment | Lifetime Access | Tutor Support