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- W4386804589 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" @default.
- W4386804589 created "2023-09-17" @default.
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- W4386804589 date "2023-09-13" @default.
- W4386804589 modified "2023-09-26" @default.
- W4386804589 title "Placement Wizard (Recruitment Made Easier using Statistics)" @default.
- W4386804589 doi "https://doi.org/10.36948/ijfmr.2023.v05i05.6296" @default.
- W4386804589 hasPublicationYear "2023" @default.
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