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dc.contributor.advisorAlam, Md. Ashraful
dc.contributor.authorSohan, Saad Ahmed
dc.contributor.authorNakib, Ayman
dc.contributor.authorAhmed, Tanvir
dc.date.accessioned2018-05-09T09:16:26Z
dc.date.available2018-05-09T09:16:26Z
dc.date.copyright2018
dc.date.issued2018-04
dc.identifier.otherID 12201053
dc.identifier.otherID 13101274
dc.identifier.otherID 12201070
dc.identifier.urihttp://hdl.handle.net/10361/10102
dc.descriptionThis thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 37-38).
dc.description.abstractIn the present time data science and artificial intelligence is taking charge of every aspect in our life to make our lives more easy and comfortable. Machine learning is an approach to achieve artificial intelligence and train machine to predict based on the given set of data. We propose and demonstrate a model using machine learning approach and apply it on the market research sector to analyze how successful or unsuccessful will be a business in a particular area. The proposed model enables analyzing the existing businesses and their success according to the population, business type, and product price, customer type to build correlation among business, area and people. This will allow us to predict the behavior of different type of people towards different type of business product, business type, and business location. We used some existing machine learning algorithm to train and evaluate our model and predict the probability of success of a startup in a particular area.en_US
dc.description.statementofresponsibilitySaad Ahmed Sohan
dc.description.statementofresponsibilityAyman Nakib
dc.description.statementofresponsibilityAyman Nakib
dc.format.extent38 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.
dc.subjectData scienceen_US
dc.subjectArtificial intelligenceen_US
dc.subjectMachine learningen_US
dc.subjectBusiness solutionen_US
dc.titleStart up business solution using machine learningen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering 


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