Restaurants Rating Prediction using Machine Learning Algorithms
Vicky Malik1, S. Prasad Babu Vagolu2, Sunil Chandolu3
1Vicky Malik*, PG Student, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam.
2S.Prasad Babu Vagolu, Assistant Professor, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam.
3Sunil Chandolu, Assistant Professor, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 466-469 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3754049620/2020©BEIESP | DOI: 10.35940/ijitee.F3754.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Restaurant Rating, Random Forest Algorithm, Linear Regression, Machine Learning Algorithm.
Scope of the Article: Artificial Intelligence and Machine Learning.