Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.

Opis bibliograficzny
Główni autorzy: Khan, Sushmita Laila, Feroz, Nusrat Jahan
Kolejni autorzy: Rahman, Zahidur
Format: Praca dyplomowa
Język:English
Wydane: BRAC University 2014
Hasła przedmiotowe:
Dostęp online:http://hdl.handle.net/10361/2901
id 10361-2901
record_format dspace
spelling 10361-29012022-01-26T10:15:47Z Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning Khan, Sushmita Laila Feroz, Nusrat Jahan Rahman, Zahidur Department of Computer Science and Engineering, BRAC University Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. Cataloged from PDF version of thesis report. Includes bibliographical references (page 66). A data set on ‘Preprimary education’ consisting of eleven hundred and fourteen data was collected from IED BRAC University. At the end of the study the students were tested out of eighteen and scored according to their performance .The entire data set was divided in three groups, and the results were classified in four parts. The first data set consisted of the socio economic attributes and the result obtained from the test, the second data set contained other likely attributes which could possibly have affected the results, like the education of parents, siblings, average education of student’s families etc. The third and final data set consisted of the marks they scored in each question and the net total mark obtained, to test their readiness. The results were classified into four groups called fully prepared, partially prepared, unprepared and needs help and they were categorized accordingly. An attribute relation file format, a format which is compatible with WEKA was made of each data set, before taking input. Once input was taken, these data sets were analyzed using several machine learning algorithms. The main goal of analyzing the data was to test whether or not the preprimary education prepares the students for primary education. The algorithms used in analyzing the data set were Super vector machine: Sequential Maximization Optimization, Multilayer perceptron: Back propagation algorithm, Naive Bayes algorithm, Random tree and random forest. The results obtained from each algorithm were compared and the algorithm performing the best was selected. Sushmita Laila Khan Nusrat Jahan Feroz B. Computer Science and Engineering 2014-01-29T06:18:30Z 2014-01-29T06:18:30Z 2014 2014-01 Thesis ID 10101008 ID 10101030 http://hdl.handle.net/10361/2901 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 67 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Computer science and engineering
spellingShingle Computer science and engineering
Khan, Sushmita Laila
Feroz, Nusrat Jahan
Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
author2 Rahman, Zahidur
author_facet Rahman, Zahidur
Khan, Sushmita Laila
Feroz, Nusrat Jahan
format Thesis
author Khan, Sushmita Laila
Feroz, Nusrat Jahan
author_sort Khan, Sushmita Laila
title Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
title_short Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
title_full Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
title_fullStr Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
title_full_unstemmed Analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
title_sort analysis and manipulation of the data set obtained from the study of pre-primary education development using machine learning
publisher BRAC University
publishDate 2014
url http://hdl.handle.net/10361/2901
work_keys_str_mv AT khansushmitalaila analysisandmanipulationofthedatasetobtainedfromthestudyofpreprimaryeducationdevelopmentusingmachinelearning
AT feroznusratjahan analysisandmanipulationofthedatasetobtainedfromthestudyofpreprimaryeducationdevelopmentusingmachinelearning
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