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Restaurant Recommendation System
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Recommendation Systems/restaurant_recommendation/README.md
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## Restaurant Recommendation System | ||
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### 🎯 **Goal** | ||
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The primary goal of this project is to develop a machine learning-based restaurant recommendation system that suggests restaurants to users based on their preferences, location, and previous dining history. This system aims to enhance user experience by providing personalized recommendations. | ||
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### 🧾 **Description** | ||
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This project focuses on building a restaurant recommendation system using machine learning techniques. By analyzing user preferences, restaurant attributes, and customer reviews, the model recommends restaurants that closely match the user’s tastes. The system leverages collaborative filtering, content-based filtering, and hybrid recommendation techniques to offer personalized suggestions. | ||
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### 📚 **Libraries Needed** | ||
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- pandas – For data manipulation and analysis. | ||
- numpy – For numerical computations. | ||
- scikit-learn – For implementing machine learning algorithms. | ||
- matplotlib – For data visualization. | ||
- seaborn – For enhanced visualization aesthetics |
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