Welcome to the Anime Recommender System, a personalized recommendation engine that helps anime enthusiasts discover their next favorite series! This system uses machine learning algorithms to suggest anime based on user preferences and historical data. Whether you're a seasoned otaku or new to the world of anime, this tool will help you find shows tailored to your taste.
- Personalized Recommendations: Get anime suggestions based on your watch history, ratings, and preferences.
- Content-Based Filtering: Recommends anime similar to what you've enjoyed.
- Collaborative Filtering: Suggests anime based on what users with similar preferences have watched.
- Python: Core programming language used for the recommender system.
- Pandas: For data manipulation and analysis.
- NumPy: For numerical operations.
- Scikit-learn: For implementing machine learning algorithms like content-based and collaborative filtering.
- Matplotlib: For data visualization and plotting.
- Jupyter Notebook: For interactive development and running experiments.