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dc.contributor.authorZishan, Khandoker
dc.date.accessioned2022-03-30T07:32:36Z
dc.date.available2022-03-30T07:32:36Z
dc.date.issued2022-03-30
dc.identifier.urihttp://dspace.uiu.ac.bd/handle/52243/2397
dc.description.abstractCustomers are the driving force for a business to thrive. To make a new product, decisions have to be made whether this is something which the customers will resonate with. This is why it is absolutely necessary to understand a customer and whether or not they will stay with the company. Businesses capture many information of a customer which at a glance will not make much sense. But those information are key features for building a model. This is where the web application for Churn Prediction will step in which will take in all the various information about a customer and predict whether that customer will churn or not. Simply uploading an excel file with customer data will show which customers will churn or not. This will allow business managers to intervene to keep those potential customers from churning.en_US
dc.language.isoen_USen_US
dc.subjectWeb Applicationen_US
dc.subjectMachine Learningen_US
dc.titleWeb Application for Churn Predictionen_US
dc.typeProject Reporten_US


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