Churn prediction model for Pakistan telecom company using machine learning
Material type:
TextPublisher: NUST SEECS Islamabad NUST SEECS Islamabad 2014DDC classification: BESE-1 FAI Online resources: Click here to access online
| 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Central Library (CL) | Central Library (CL) | General Stacks | BESE-1 FAI (Browse shelf) | WITHDRAWN | SEECSP01517 |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
Supervisor ;DR Ali Mustafa Qamar
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