Description
This Specialization equips learners with practical skills to design and implement robust recommendation systems using Python. Spanning foundational techniques to hybrid models, it covers collaborative filtering, content-based filtering, and real-world deployment strategies using libraries like Surprise, Pandas, and Scikit-learn. Learners will explore use cases like movie and book recommenders, applying best practices from real-world platforms.