100% Off Udemy Course Free Coupon Code Beginners Guide to Python Programming Recommender Systems Course Free: Use collaborative filtering to recommend movies to users! Implementations step by step from scratch. Recommender systems are a hot topic in Artificial Intelligence and are widely used by a lot of companies. They are everywhere recommending movies, music, videos, products, services, and so on. For example, when you finish watching a movie on Netflix, other movies you might like are indicated for you. This is a classic example of a recommender system.
Learn Python Programming Recommender Systems Free with Udemy Course
What makes this course unique is that you will implement step by step from scratch in Python, learning all mathematical calculations. Udemy free online courses with certificates. This can be considered the first course on recommender systems, so, if you have never heard about how to implement them, in the end, you will have all the theoretical and practical background to develop some simple projects and also take more advanced courses. See you in class.
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Learn About:
- Understand the basics of recommender systems
- Understand the theory and mathematical calculations of collaborative filtering
- Implement user-based collaborative filtering and item-based collaborative filtering step by step in Python
- Use the following libraries for recommender systems: LibRecommender and Surprise
- Use the MovieLens dataset to generate movie recommendations for users
Requirements:
- Programming logic
- Basic Python programming
