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For the user whose ID is given, it is desired to make 10 movie recommendations using item-based and user-based recommender methods
Python, Pandas, Scikit Learn, Mlxtend, Surprise
Data Science, Recommendation Systems
Movielens
Association Rule Learning, Content Based Recommendation, Data Science, Hybrid Recommendation, Item Based Recommendation, Matrix Factorization, Recommendation Systems, User Based Recommendation