Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9995
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBatta, Sparsh-
dc.contributor.authorKansal, Mehul-
dc.contributor.authorSidhu, Jagpreet Singh [Guided by]-
dc.date.accessioned2023-09-15T05:06:18Z-
dc.date.available2023-09-15T05:06:18Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9995-
dc.descriptionEnrollment No. 191296, 191299en_US
dc.description.abstractThe term regression analysis coincides with finding a real value parameter that can be used for prediction purposes. It differs from classification in the sense that, in classification the categorical or discrete values form the basis of model as opposed to regression where the numerical parameters are employed for the same. Computationally regression analysis is generally more expensive than classification analysis though the same can differ in different contexts.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectNYCen_US
dc.subjectTaxi Fareen_US
dc.titleNYC Taxi Fare Prediction and Visualizationen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

Files in This Item:
File Description SizeFormat 
NYC Taxi Fare Prediction and Visualization.pdf3.6 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.