A methodology for power forecasting in Pakistan using different machine learning techniques [MS Data Sciences] / by Zoya Zahid

By:

Material type: Text

TextPublication details: Lahore : UMT. School of Business and Economics, 2020Description: 52 p. CDSubject(s):

DDC classification:

Item type:

Theses and Term Papers

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Current library	Call number	Status	Date due	Barcode
UMT Main Campus	TP 330.9549100112 ZOY-M (Browse shelf(Opens below))	Not for loan		135368

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	TP 330.95 ADA-W In the wake of the Asian afire [M. Phil in Economics] :	TP 330.95362 SAB-S The socio-economic determinants of crime [ MS Economics] :	TP 330.95491 IQR-I Impact of terrorism, political stability and green house gasses on FDI inflows in Pakistan [M. Phil Economics] /	TP 330.9549100112 ZOY-M A methodology for power forecasting in Pakistan using different machine learning techniques [MS Data Sciences] /	TP 330.9549162131 AHM-R Relationship among electricity consumption, GDP, CPI, and FDI investment [MS Finance] :	TP 331 NAD-R The role of business competitiveness in human development [ M.Phil Economics] /	TP 331.0683 SAU-P Predicting employee attrition by using data [MS Data Sciences] /	Next

Report presented in partial requirement for MS degree in Data Sciences
Advisor : Mian Usman Sattar

English

There are no comments on this title.

to post a comment.