The main goal of this project is to perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset and build an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features.
Dataset was taken from Kaggle
Machine Learning Technology & Ecommerce
Python [Jupyter Notebook, MS Excel, FastAPI]
- From the analysis,
'Onesta','Empire Restaurant'&'KFC'are the most famous restaurants in bangalore. - Most Restaurants offer options for online order and delivery.
- Most restaurants don't offer table booking.
- From the analysis, most of the ratings are within 3.5 and 4.5.
- 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'. 'Casual Dining' , 'Quick Bites' , 'Cafe' ,
- 'Dessert Parlor' are the most common types of restaurant.And 'Food Court', 'Casual Dining' ,
- 'Dhaba' are the least common.
- From the analysis, pasta & Pizza most famous food in bangalore restaurants.
- From the analysis, we can see that North Indian Cuisines are most famous in bangalore restaurants.
- Two main service types are Delivery and Dine-out.
- From the analysis, we can see that 'Onesta' , 'Truffles' & 'Empire Restaurant' are highly voted restaurants.
https://drive.google.com/file/d/1_b0Kz7ljemyjlyX2G5NVQD8iwULOkKex/view?usp=sharing
parameters of json
online_order: Whether Online Ordering is available in restaurant or not.book_table: Table booking is available or not.votes: total number of rating for the restaurant.cost: Contains the approximate cost meal of two people.location: Location of the restaurant.rest_type: Type of restaurant.type:
{
"online_order": "Yes",
"book_table": "Yes",
"votes" : 775,
"cost" : 800.0,
"location" : "Banashankari",
"rest_type" : "Casual Dining",
"type" : "Buffet"
}