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Churn prediction model for Pakistan telecom company using machine learning

By: Faizan Ahmed Material type: Text

TextPublisher: NUST SEECS Islamabad NUST SEECS Islamabad 2014DDC classification: BESE-1 FAI Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Project Report	Central Library (CL)	Central Library (CL)	General Stacks	BESE-1 FAI (Browse shelf)	WITHDRAWN		SEECSP01517

Total holds: 0

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Previous	BESE-1 AIN Formal verification of leach protocol, and its extensions along with a remote serial network	BESE-1 ANE E-commerce website for customized clothes and products	BESE-1 BIL Steady driver-Android based application	BESE-1 FAI Churn prediction model for Pakistan telecom company using machine learning	BESE-1 FAR A web based financial management system: Report, user manual & installation manual	BESE-1 JAW Extensible access modeling framework for cloud based applications using attribute based access control (ABAC) model	BESE-1 KHA A dynamic web application for exploring meaning and structure of quranic arabic	Next

Supervisor ;DR Ali Mustafa Qamar

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