In this project i performed exploratory data analysis on given dataset. And created a model that can predict the rating of the restaurant.
download the dataset from here
Main Objective:
The main agenda of this project is:
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Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset.
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Build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features.
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url contains the url of the restaurant in the zomato website
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address contains the address of the restaurant in Bengaluru
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name contains the name of the restaurant
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online_order whether online ordering is available in the restaurant or not
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book_table table book option available or not
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rate contains the overall rating of the restaurant out of 5
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votes contains total number of rating for the restaurant as of the above mentioned date
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phone contains the phone number of the restaurant
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location contains the neighborhood in which the restaurant is located
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rest_type restaurant type
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dish_liked dishes people liked in the restaurant
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cuisines food styles, separated by comma
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approx_cost(for two people) contains the approximate cost of meal for two people
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reviews_list list of tuples containing reviews for the restaurant, each tuple
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menu_item contains list of menus available in the restaurant
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listed_in(type) type of meal
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listed_in(city) contains the neighborhood in which the restaurant is listed
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From the analysis, 'Onesta', 'Empire Restaurant' & 'KFC' are the most famous restaurants in bangalore.
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Most Restaurants offer options for online order and delivery.
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Most restaurants don't offer table booking.
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From the analysis, most of the ratings are within 3.5 and 4.5.
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From the analysis. we can see that most of the restaurants located in 'Koramangala 5th Block', 'BTM' & 'Indiranagar'.Then least restaurants are located 'KR Puram', 'Kanakapura', 'Magadi Road'.
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'Casual Dining', 'Quick Bites', 'Cafe', 'Dessert Parlor' are the most common types of restaurant.And 'Food Court', 'Casual Dining', 'Dhaba' are the least common.
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From the analysis, pasta & Pizza most famous food in bangalore restaurants.
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From the analysis, we can see that North Indian Cuisines are most famous in bangalore restaurants.
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Two main service types are Delivery and Dine-out.
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From the analysis, we can see that 'Onesta', 'Truffles' & 'Empire Restaurant' are highly voted restaurants.
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For the modeling part, i used LinearRegression, DecisionTree Regressor, RandomForest Regressor , Supprotvector Regressor & ExtraTree Regressor. From all these models ExtraTree Regressor perform well compared to the other models.So i selected ExtraTree Regressor for model creation.