A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Détails bibliographiques
Auteurs principaux:	Raizan, Syed Ahsan, Alam, Sayed Tanjim
Autres auteurs:	Rahman,Md. Khalilur
Format:	Thèse
Langue:	English
Publié:	Brac University 2021
Sujets:	Primary Data Machine Learning Supervised Learning Unsupervised Learning Informal Economy Apprenticeship Program
Accès en ligne:	http://hdl.handle.net/10361/15261

id	10361-15261
record_format	dspace
spelling	10361-152612022-01-26T10:10:26Z A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning Raizan, Syed Ahsan Alam, Sayed Tanjim Rahman,Md. Khalilur Shakil, hifur Rahman Department of Computer Science and Engineering, Brac University Primary Data Machine Learning Supervised Learning Unsupervised Learning Informal Economy Apprenticeship Program Machine Learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 32-35). Analyzing data on the populace involved in BRAC’s Skills Development Programme (SDP), receiving training for jobs and businesses in the informal sector of the economy, research aims to predict and/or classify whether or not learners had a gainful employment, based on background data inferred from past learners and to see how eﬃciently diﬀerent machine learning algorithms can achieve this. As this work involves indirectly helping people who work in the informal sector, it is safe to assume that most of the learners will ask to be enrolled in trades that they see the majority pursuing, instead of making an informed decision. The observations from the research aims to ﬁnd how eﬀectively diﬀerent machine learning algorithms discover correlation between a learner’s background data and their chances of success in securing lucrative employment compared to their peers, and grouping learners into groups of successful and unsuccessful categories to determine how the performance of learners are in the job sector after receiving training. Some of the investigating criteria are their backgrounds, post training information and current salary, to name a few. Syed Ahsan Raizan Sayed tanjim Alam B. Computer Science 2021-10-17T04:04:40Z 2021-10-17T04:04:40Z 2021 2021-01 Thesis ID 16201057 ID 16201076 http://hdl.handle.net/10361/15261 en Brac University theses 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. 35 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Primary Data Machine Learning Supervised Learning Unsupervised Learning Informal Economy Apprenticeship Program Machine Learning
spellingShingle	Primary Data Machine Learning Supervised Learning Unsupervised Learning Informal Economy Apprenticeship Program Machine Learning Raizan, Syed Ahsan Alam, Sayed Tanjim A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
author2	Rahman,Md. Khalilur
author_facet	Rahman,Md. Khalilur Raizan, Syed Ahsan Alam, Sayed Tanjim
format	Thesis
author	Raizan, Syed Ahsan Alam, Sayed Tanjim
author_sort	Raizan, Syed Ahsan
title	A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
title_short	A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
title_full	A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
title_fullStr	A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
title_full_unstemmed	A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
title_sort	study of gainful employment of learners receiving skills training in the informal sector using machine learning
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/15261
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A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning

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