Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliografiset tiedot
Päätekijät: Shihab, Ibne Farabi, Oishi, Maliha Moonwara
Muut tekijät: Arif, Hossain
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: BRAC University 2018
Aiheet:
Linkit:http://hdl.handle.net/10361/10951
id 10361-10951
record_format dspace
spelling 10361-109512022-01-26T10:10:36Z Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment Shihab, Ibne Farabi Oishi, Maliha Moonwara Arif, Hossain Department of Computer Science and Engineering, BRAC University Vector Machine Decision Tree Logistic regression Restaurant Geographical location Machine learning Data mining This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 45-47). A restaurant business is a very prospective and profitable business nowadays. However, ensuring quality food, good stuff, inner-environment etc. is a big concern and most importantly before facing all these, the trickiest part is to choose a perfect place where a restaurant business will flourish. Without doing a perfect research on this area, setting up a restaurant may lead to an immediate downfall. Not only for choosing a preferred restaurant location, people are now hiring professionals to do ground check and here the data scientists are coming into play as a bigshot. This research is focused on suggesting a suitable place for setting up a restaurant business based on the existing data from Yelp where 75 features have been extracted for analysis. Several machine learning algorithms (Support Vector Machine, Decision Tree, Logistic Regression and Decision Tree with presort) have been used and juxtaposed to nurture out the suitable one. As yelp’s review is authentic and it is maintained regularly, we have considered the rating of a business as the point of suggestion. We have also looked at the comparative analysis of this algorithm and searched for an algorithm which gives us the best result. Ibne Farabi Shihab Maliha Moonwara Oishi B. Computer Science and Engineering 2018-12-03T09:41:21Z 2018-12-03T09:41:21Z 2018 2018 Thesis ID 14201002 ID 14301011 http://hdl.handle.net/10361/10951 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 47 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Vector Machine
Decision Tree
Logistic regression
Restaurant
Geographical location
Machine learning
Data mining
spellingShingle Vector Machine
Decision Tree
Logistic regression
Restaurant
Geographical location
Machine learning
Data mining
Shihab, Ibne Farabi
Oishi, Maliha Moonwara
Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
description This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2 Arif, Hossain
author_facet Arif, Hossain
Shihab, Ibne Farabi
Oishi, Maliha Moonwara
format Thesis
author Shihab, Ibne Farabi
Oishi, Maliha Moonwara
author_sort Shihab, Ibne Farabi
title Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
title_short Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
title_full Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
title_fullStr Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
title_full_unstemmed Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
title_sort where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
publisher BRAC University
publishDate 2018
url http://hdl.handle.net/10361/10951
work_keys_str_mv AT shihabibnefarabi wherewillyousetupyourbusinessnextamachinelearningapproachtosuggestidealgeographicallocationfornewrestaurantestablishment
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