Restaurant Dataset

Dataset Description: Restaurant Cuisine Classification

Introduction:
This dataset is designed for developing a machine learning model to classify restaurants based on their cuisines. It includes various attributes related to restaurants such as location, average cost, ratings, and services offered. The primary objective is to predict the cuisine type of a restaurant using these attributes.

Attributes:

1. Restaurant ID: Unique identifier for each restaurant.
2. Restaurant Name: Name of the restaurant.
3. Country Code: Country code where the restaurant is located.
4. City: City where the restaurant is situated.
5. Address: Address of the restaurant.
6. Locality: General locality of the restaurant.
7. Locality Verbose: Detailed locality description.
8. Longitude: Longitude coordinate of the restaurant's location.
9. Latitude: Latitude coordinate of the restaurant's location.
10. Cuisines: Type of cuisines offered by the restaurant (target variable).
11. Average Cost for Two: Average cost for two people dining at the restaurant.
12. Currency: Currency used for pricing.
13. Has Table Booking: Binary variable indicating if the restaurant accepts table bookings.
14. Has Online Delivery: Binary variable indicating if the restaurant offers online delivery.
15. Is Delivering Now: Binary variable indicating if the restaurant is currently delivering.
16. Switch to Order Menu: Binary variable indicating if the restaurant has an online menu ordering option.
17. Price Range: Range indicating the price level of the restaurant's menu items.
18. Aggregate Rating: Average rating of the restaurant based on customer reviews.
19. Rating Color: Color code representing the rating level.
20. Rating Text: Textual representation of the rating level.
21. Votes: Total number of votes received by the restaurant.

Acknowledgements:
This dataset was collected from various sources and curated for research purposes. Gratitude is extended to all contributors who made this dataset available for analysis and experimentation.

Usage Policy:
The dataset is intended for research and educational purposes only. Commercial use or redistribution of the dataset requires explicit permission from the data owners.

Disclaimer:
While efforts were made to ensure the accuracy and reliability of the dataset, the creators do not guarantee its correctness or suitability for any particular purpose. Users are advised to validate the data before making any decisions based on it.