Placement Wizard (Recruitment Made Easier using Statistics)

Author(s)	Anurag S Surve, Bhushan Jadhav, Om B Borkar, Kartik Wategaonkar
Country	India
Abstract	The recruitment process for jobs is often challenging and time consuming. It entails multiple stages, including screening resumes, conducting interviews, and assessing candidates through tests. Recently, machine learning algorithms have gained popularity in the recruitment process as they can predict the likelihood of a candidate's placement based on various factors. In this study, we aimed to develop and compare three machine learning algorithms, including LR, DT, NB, KNN & PCA for predicting the placement status of students in a job recruitment process
Field	Computer > Data / Information
Published In	Volume 5, Issue 5, September-October 2023
Published On	2023-09-13
Cite This	Placement Wizard (Recruitment Made Easier using Statistics) - Anurag S Surve, Bhushan Jadhav, Om B Borkar, Kartik Wategaonkar - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.6296
DOI	https://doi.org/10.36948/ijfmr.2023.v05i05.6296
Short DOI	https://doi.org/gsqr5f

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International Journal For Multidisciplinary Research