Machine Learning Tools Based Statistical Model for Candidate Hiring Prediction

Naman Sahai*
Shri Ramswaroop Memorial Group of Professional Colleges, Uttar Pradesh, India.
Periodicity:March - May'2022
DOI : https://doi.org/10.26634/jit.11.2.18956

Abstract

Recruiting is a strategy for finding, attracting, and hiring young and experienced talent for entry-level and experienced positions. College and industry recruiting is generally a tactic for medium-to-large companies with large recruiting needs according to the project and business needs, but can range from small efforts (e.g., working with university career centers to source potential candidates) to large-scale operations and even asking current employees to change jobs. Campus hiring often involves working with university career centers and attending job fairs to meet face-to-face with college students and recent graduates, while hiring experienced employees depends on profile, experience, and other factors.

Keywords

Machine Learning, Decision Tree, Statistical Modeling, Data Visualization.

How to Cite this Article?

Sahai, N. (2022). Machine Learning Tools Based Statistical Model for Candidate Hiring Prediction. i-manager’s Journal on Information Technology, 11(2), 16-20. https://doi.org/10.26634/jit.11.2.18956

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