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Gender and Age Group Profiling of Telecom Customers using Machine Learning/ Maryam Malik,

TextIslamabad : SEECS, NUST, 2023Description: 66 p. ; 30 cmSubject(s): MS- Data ScienceDDC classification: 200 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
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6828

Total holds: 0

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Previous	200 Temporal Analysis of Forest Cover Change owing to Environmental Impacts using Machine Learning/	200 Applying Universal Design for Learning to Restructure Higher Education/	200 Deep learning based 3D object detection in adverse weather conditions using LiDaR data/	200 Gender and Age Group Profiling of Telecom Customers using Machine Learning/	200 Crop Selection and Land Allocation under Uncertainty: Multi-Product Multi-Objective Optimization/	200 Dual Band Reconfigurable Power Amplifier for L and S Band Applications/	200 Development of Intelligent Intrusion Detection System for Smart Water Treatment and Distribution Plants in IoT-Enabled Critical Infrastructures/	Next

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