1. Campus placements predictor using machine learning algorithms.
- Author
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Reddy, Rithika, Srilatha, Koleti, Tahani, Nada, and Veeramsetty, Venkataramana
- Subjects
REGRESSION trees ,RANDOM forest algorithms ,REGRESSION analysis - Abstract
These days, the students are worried about their placement opportunities in this competitive world. Getting placed in a company with good package is what students dream. In this paper, a machine learning model to predict the package with which the students will get placed in a company. If they have less package then they can try to improve their skills. Based on the marks they have scored in some technical subjects are used to predict the package of the student using machine learning model. In this paper, linear regression model, regression tree and random forest classifier models are used for p rediction. Among all these three models, random forest model is performing well with least error while prediction. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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