Mastering Recommendation Systems with Python
$49
ENROLL NOWCourse Overview
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.
Course FAQs
What are the prerequisites for 'Mastering Recommendation Systems with Python'?
Prerequisites for this continuing education class are set by EDUCBA. Most professional development online classes benefit from some prior knowledge. Please check the provider's page for specific requirements.
Will I receive a certificate for this CE class?
Yes, upon successful completion, EDUCBA typically offers a shareable certificate to showcase your new skills and fulfill your continuing education requirements.
How long does this online course take to complete?
Completion times for online continuing education courses vary. The provider's website will have the most accurate estimate of the time commitment needed.
