Popularity-Based-Restaurant-Recommendation

Purpose:

This Notebook Recommends Restaurants based on popularity

Data:

1-We have a ratings data which contains ratings given to different restaurants by different users
2-We have a cuisine data which contains cuisines of different restaurants

Libraries Used:

1-Pandas
2-Numpy

Approach

1-From the ratings data we group the data by restaurant's ID
2-Then we find the count of ratings for each restaurant
3-Hence we will get a data frame with restaurants and their count of ratings
4-Merge this data frame with most rated restaurants
5-If we see Cuisine data, we will notice Mexican is the most offered Cuisine
Hence we can recommend Most Rated Mexican Restaurants