ML based career suggestive system for informal job sector considering cognitive skills

ML based career suggestive system for informal job sector considering cognitive skills

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Detalhes bibliográficos
Principais autores:	Tonny, Ms. Ayesha Siddika, Hafsa, Lavlu, Md. Tousif Hasan, Ghosh, Abhijit Kumar, Roy, Sourojit
Outros Autores:	Rahman, Md. Khalilur
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	Career Capacity Interests Cognitive skills Informal sectors Extreme Gradient Boosting (XGB) Random Forest Classifier MinMaxScaler Pymetrics Machine learning Artificial intelligence
Acesso em linha:	http://hdl.handle.net/10361/18003

Registros relacionados

Prediction on large scale data using extreme gradient boosting
por: Sawon, Md.Tariq Hasan, et al.
Publicado em: (2016)

Detecting online recruitment fraud by using machine learning
por: Ghosh, Gitanjali, et al.
Publicado em: (2021)

Building a credit scoring model to assign a reference score based on credit transaction and relevant profile data
por: Islam, Saqib Al, et al.
Publicado em: (2020)

Prediction of earthquakes: a step towards predicting the unpredictable
por: Chowdhury, Maheen, et al.
Publicado em: (2023)

Prediction of bipolar disorder from mental episodes using machine learning approach
por: Tasmeem, Sumaiya, et al.
Publicado em: (2023)

Sentiment analysis for Bengali newspaper headlines
por: Hossain, Mohammad Samman, et al.
Publicado em: (2017)

Recruitment & selection process of Min Sheng Lines Bangladesh Ltd.
por: Shultana, Sharmin
Publicado em: (2016)

Exploring machine learning techniques for symptom-based detection of livestock diseases
por: Niloy, Mahir Ahmed, et al.
Publicado em: (2024)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
por: Rahman, Tahsinur, et al.
Publicado em: (2023)

Early detection of chronic kidney disease using machine learning
por: Abrar, Tahmid, et al.
Publicado em: (2019)

Stock market prediction using ensemble learning
por: Rabbani, Rakin Bin, et al.
Publicado em: (2021)

Urban Minning future cities from waste: towards a possibility
por: Tabassum, Tamanna
Publicado em: (2016)

Speech emotion detection using supervised, unsupervised and feature selection algorithms
por: Rifat, Abu Nuraiya Mahfuza Yesmin, et al.
Publicado em: (2019)

Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
por: Rahman, Fahim, et al.
Publicado em: (2021)

Finding habitable exo planets using boosting algorithm
por: Rahman, Md. Mashfiq, et al.
Publicado em: (2020)

Rating detection by reviews using ML and NLP towards mobile phone recommendation
por: Sarker, Md Wafi, et al.
Publicado em: (2023)

An approach to detect epileptic seizure using XAI and machine learning
por: Bijoy, Emam Hasan, et al.
Publicado em: (2022)

WiMAX implementation of smart grid wide area distributed generation and demand side load protection model in MATLAB/SIMULINK
por: Arefin, Mohammad Kamrul
Publicado em: (2016)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
por: Turjo, Aquib Abtahi, et al.
Publicado em: (2021)

Changes in extreme poverty in Bangladesh (2000–2015): Trend, dynamics, and implications for research and interventions
Publicado em: (2022)

Performance analysis of the last mile access of WiMAX technology for a standard rural area of Bangladesh
por: Raihan, Ratul, et al.
Publicado em: (2014)

Using change rankings to understand poverty dynamics: Examining the impact of CFPR/TUP from community perspective
por: Sulaiman, Munshi, et al.
Publicado em: (2022)

Scholar extraordinary : the life of Friedrich Max Müller /
por: Chaudhuri, Nirad C., 1897-1999
Publicado em: (1996)

Automated online exam proctoring system using computer vision and hybrid ML classi er
por: Hossain, Zarin Tahia, et al.
Publicado em: (2022)

QUBEE internet operation in Bangladesh
por: Saifuzzaman
Publicado em: (2014)

Rebels through updike and desai's lenses
por: Habib, Mushira
Publicado em: (2014)

Addressing extreme poverty in a sustainable manner: Evidence from CFPR program
por: Das, Narayan Chandra, et al.
Publicado em: (2022)

Diagnosis of cervical cancer using effective hybrid model in Bangladesh
por: Saad-Ul-Kabir, Syed, et al.
Publicado em: (2021)

Mastering 3ds Max 4 /
por: Woods, Cat
Publicado em: (2001)

Globalising Southern approaches to reducing extreme poverty: Policy adoption of BRAC’s targeting the ultra poor graduation program
por: Hashemi, Syed M., et al.
Publicado em: (2024)

Email classification and meeting scheduling using classifier algorithm
por: Khan, Behroz Newaz, et al.
Publicado em: (2017)

Analysis of training time optimization for self-driving car using alternate max pooling layers
por: Arefin, Kazi Ridwan, et al.
Publicado em: (2018)

Mathmatical formulations of the basic diffusion equation: a discussion
por: Islam, M.A., et al.
Publicado em: (2010)

Resource Booklet CFPR-II Evaluation
por: Sulaiman, Munshi, et al.
Publicado em: (2022)

Security and development - are they two sides of the same coin? Investigating India's two-pronged policy towards left wing extremism
por: Basu, Ipshita
Publicado em: (2016)

Livelihood of slum-dwellers: Findings from baseline survey of ultra-poor program
por: Jimi, Nurat Abedin, et al.
Publicado em: (2022)

Accounts activities of MaxPro IT Solutions
por: Jahan, Nusrat
Publicado em: (2022)

Measuring 'empowerment' using quantitative household survey data
por: Mahmud,Simeen, et al.
Publicado em: (2016)

Making a commitment to ethics in global health research partnerships: a practical tool to support ethical practice
por: Murphy, Jill, et al.
Publicado em: (2017)

Phytochemical analysis, cytotoxic and in vitro antioxidant activity of erythrina variegate bark
por: Shahriar, Mohammad, et al.
Publicado em: (2016)