Open AccessRestaurants Rating Prediction using Machine Learning Algorithms
Author(s) -
V S Malik,
S.Prasad Babu Vagolu,
Sunil Chandolu
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3754.049620
Subject(s) - quality (philosophy) , machine learning , computer science , rating system , regression analysis , variable (mathematics) , situated , random forest , artificial intelligence , mathematics , economics , environmental economics , mathematical analysis , philosophy , epistemology
Restaurant Rating has become the most commonly used parameter for judging a restaurant for any individual. A lot of research has been done on different restaurants and the quality of food it serves. Rating of a restaurant depends on factors like reviews, area situated, average cost for two people, votes, cuisines and the type of restaurant. The project aim is to find out the relationship between the dependent and independent variable. Proposed project is a Machine Learning Regression problem which uses Restaurant Rating dataset. Based on various attributes like the food, quality, prize ambience of the restaurant it predicts the Restaurant Rating.