What you’ll learn
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Understand the basics about recommender systems
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Understand the theory and mathematical calculations of collaborative filtering
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Implement user-based collaborative filtering and item-based collaborative filtering step by step in Python
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Use the following libraries for recommender systems: LibRecommender and Surprise
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Use the MovieLens dataset to generate movie recommendations for users
Who this course is for:
- People interested in recommender systems
- Students who are studying subjects related to Artificial Intelligence
- Data Scientists who want to increase their knowledge in recommender systems
- Professionals interested in developing recommender systems
- Beginners who are starting to learn recommender systems
Can I download The Ultimate Beginners Guide to Python Recommender Systems course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The The Ultimate Beginners Guide to Python Recommender Systems course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.