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ML / DL
Anime-Recommendation-System
Collaborative filtering + cosine similarity based anime recommender.
Recommendation SystemsScikit-learnPandasPython
The Problem
Users often struggle to find new anime they might enjoy among thousands of titles.
The Solution
Created a recommendation engine using collaborative filtering and content-based similarity measures.
Key Features
•Personalized recommendations
•Similarity-based search
•User rating analysis
•Rich dataset handling
Impact
High recommendation precision
Handled large datasets efficiently
Learnings
Mastered recommendation algorithms and data preprocessing.