Example

LRC Welcomes you to the House of Knowledge

A methodology for power forecasting in Pakistan using different machine learning techniques [MS Data Sciences] / (Record no. 119737)

MARC details
000 -LEADER
fixed length control field 00681nam a22001817a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20201107115743.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190116b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency PK-LaUMT
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number TP 330.9549100112
Item number ZOY-M
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Zoya Zahid
245 ## - TITLE STATEMENT
Title A methodology for power forecasting in Pakistan using different machine learning techniques [MS Data Sciences] /
Statement of responsibility, etc by Zoya Zahid
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Lahore :
Name of publisher, distributor, etc UMT. School of Business and Economics,
Date of publication, distribution, etc 2020
300 ## - PHYSICAL DESCRIPTION
Extent 52 p.
Accompanying material CD
500 ## - GENERAL NOTE
General note Report presented in partial requirement for MS degree in Data Sciences<br/>Advisor : Mian Usman Sattar
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element School of Business and Economics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Theses and Term Papers
Holdings
Withdrawn status Lost status Damaged status Home library Current library Date acquired Full call number Barcode Date last seen Price effective from Koha item type
      UMT Main Campus UMT Main Campus 2020-11-07 TP 330.9549100112 ZOY-M 135368 2020-11-07 2020-11-07 Theses and Term Papers
© Copyright LRC, UMT 2021. All rights reserved.           Credit: Muhammad Ismail