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.
[You can reach the application here] https://zomato-rrp2.herokuapp.com/
Dataset Description: For Restaurant Rating Prediction, we have consolidated the data of different 56521 Restaurant, available at different locations along with the ratings, number of votes as per the Zomato website. Each having different number cuisines, cost, votes, rate and location.as per data collection. Using all the observations it is inferred what role certain properties of an item play and how they affect their Ratings. The dataset looks like as follow:
- Training:
- Home Page:
- Result:
