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.

Xehetasun bibliografikoak
Egile Nagusiak:	Tonny, Ms. Ayesha Siddika, Hafsa, Lavlu, Md. Tousif Hasan, Ghosh, Abhijit Kumar, Roy, Sourojit
Beste egile batzuk:	Rahman, Md. Khalilur
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Career Capacity Interests Cognitive skills Informal sectors Extreme Gradient Boosting (XGB) Random Forest Classifier MinMaxScaler Pymetrics Machine learning Artificial intelligence
Sarrera elektronikoa:	http://hdl.handle.net/10361/18003

Antzeko izenburuak

Prediction on large scale data using extreme gradient boosting
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nork: Islam, Saqib Al, et al.
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nork: Chowdhury, Maheen, et al.
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Prediction of bipolar disorder from mental episodes using machine learning approach
nork: Tasmeem, Sumaiya, et al.
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Sentiment analysis for Bengali newspaper headlines
nork: Hossain, Mohammad Samman, et al.
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Recruitment & selection process of Min Sheng Lines Bangladesh Ltd.
nork: Shultana, Sharmin
Argitaratua: (2016)

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Early detection of chronic kidney disease using machine learning
nork: Abrar, Tahmid, et al.
Argitaratua: (2019)

Stock market prediction using ensemble learning
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Urban Minning future cities from waste: towards a possibility
nork: Tabassum, Tamanna
Argitaratua: (2016)

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

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nork: Rahman, Md. Mashfiq, et al.
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nork: Sarker, Md Wafi, et al.
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nork: Bijoy, Emam Hasan, et al.
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WiMAX implementation of smart grid wide area distributed generation and demand side load protection model in MATLAB/SIMULINK
nork: Arefin, Mohammad Kamrul
Argitaratua: (2016)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
nork: Turjo, Aquib Abtahi, et al.
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Changes in extreme poverty in Bangladesh (2000–2015): Trend, dynamics, and implications for research and interventions
Argitaratua: (2022)

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

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

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

Automated online exam proctoring system using computer vision and hybrid ML classi er
nork: Hossain, Zarin Tahia, et al.
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QUBEE internet operation in Bangladesh
nork: Saifuzzaman
Argitaratua: (2014)

Rebels through updike and desai's lenses
nork: Habib, Mushira
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Addressing extreme poverty in a sustainable manner: Evidence from CFPR program
nork: Das, Narayan Chandra, et al.
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Diagnosis of cervical cancer using effective hybrid model in Bangladesh
nork: Saad-Ul-Kabir, Syed, et al.
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Mastering 3ds Max 4 /
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Argitaratua: (2001)

Globalising Southern approaches to reducing extreme poverty: Policy adoption of BRAC’s targeting the ultra poor graduation program
nork: Hashemi, Syed M., et al.
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Email classification and meeting scheduling using classifier algorithm
nork: Khan, Behroz Newaz, et al.
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Analysis of training time optimization for self-driving car using alternate max pooling layers
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Argitaratua: (2018)

Mathmatical formulations of the basic diffusion equation: a discussion
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Resource Booklet CFPR-II Evaluation
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Security and development - are they two sides of the same coin? Investigating India's two-pronged policy towards left wing extremism
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Argitaratua: (2016)

Livelihood of slum-dwellers: Findings from baseline survey of ultra-poor program
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Accounts activities of MaxPro IT Solutions
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Measuring 'empowerment' using quantitative household survey data
nork: Mahmud,Simeen, et al.
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Making a commitment to ethics in global health research partnerships: a practical tool to support ethical practice
nork: Murphy, Jill, et al.
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nork: Shahriar, Mohammad, et al.
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