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

Authors

  • Khaled Redwan

  • Yeasin Ahammed

  • Masum Akram Hridoy

  • Fernaz Narin Nur

  • A. H. M. Saiful Islam

Keywords:

machine learning, employee culling, human resource management, KNN SVM

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

How to Cite

Khaled Redwan, Yeasin Ahammed, Masum Akram Hridoy, Fernaz Narin Nur, & A. H. M. Saiful Islam. (2019). Employee Culling based on of Online Work Assessment through Machine Learning Algorithm. Global Journal of Computer Science and Technology, 19(D4), 23–27. Retrieved from https://computerresearch.org/index.php/computer/article/view/1898

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

Published

2019-10-15