Employee Culling based on of Online Work Assessment through Machine Learning Algorithm

Article ID

ZJM8V

Employee Culling based on of Online Work Assessment through Machine Learning Algorithm

Yeasin Ahammed
Yeasin Ahammed
Khaled Redwan
Khaled Redwan Notre Dame University Bangladesh
Masum Akram Hridoy
Masum Akram Hridoy
Fernaz Narin Nur
Fernaz Narin Nur
A. H. M. Saiful Islam
A. H. M. Saiful Islam
DOI

Abstract

Job analysis, planning employee needs, recruiting the appropriate people, wages and salary management are the important theme of human resource management. Human resource management also includes evaluating performance, resolving problems, and create communication with all employees at all levels. On the other hand, Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans. So through these two sectors such as computation and business administration, in this paper on employee culling based on work assessment by which machine learning algorithm such as KNN, SVM, The Decision tree can give the best result (perfect employee). We also focus on the accuracy that algorithm is performing. We marked an employee through their experience, language skills, skills, graduation, etc. we create e model by which we can get input through the companies and give them a perfect result through their requirement assessment and machine learning algorithm.

Employee Culling based on of Online Work Assessment through Machine Learning Algorithm

Job analysis, planning employee needs, recruiting the appropriate people, wages and salary management are the important theme of human resource management. Human resource management also includes evaluating performance, resolving problems, and create communication with all employees at all levels. On the other hand, Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans. So through these two sectors such as computation and business administration, in this paper on employee culling based on work assessment by which machine learning algorithm such as KNN, SVM, The Decision tree can give the best result (perfect employee). We also focus on the accuracy that algorithm is performing. We marked an employee through their experience, language skills, skills, graduation, etc. we create e model by which we can get input through the companies and give them a perfect result through their requirement assessment and machine learning algorithm.

Yeasin Ahammed
Yeasin Ahammed
Khaled Redwan
Khaled Redwan Notre Dame University Bangladesh
Masum Akram Hridoy
Masum Akram Hridoy
Fernaz Narin Nur
Fernaz Narin Nur
A. H. M. Saiful Islam
A. H. M. Saiful Islam

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Khaled Redwan. 2019. “. Global Journal of Computer Science and Technology – D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 19 Issue D4
Pg. 23- 27
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GJCST-D Classification: F.2.1
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Employee Culling based on of Online Work Assessment through Machine Learning Algorithm

Yeasin Ahammed
Yeasin Ahammed
Khaled Redwan
Khaled Redwan Notre Dame University Bangladesh
Masum Akram Hridoy
Masum Akram Hridoy
Fernaz Narin Nur
Fernaz Narin Nur
A. H. M. Saiful Islam
A. H. M. Saiful Islam

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