Student placement prediction using Machine learning
| dc.contributor.author | B YASHWANTH KUMAR; ROHIT G M: BONTHU DEVI VARA PRASAD REDDY | |
| dc.date.accessioned | 2024-11-06T05:11:55Z | |
| dc.date.available | 2024-11-06T05:11:55Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | All students dream to obtain a job offer in their hands before they leave their college. A placement chance predictor helps students to have an idea about where they stand and what to be done to obtain a good placement. A placement predictor is a system that could predict the possibility or the type of company a pre-final year student has chances to be placed. Thus a prediction system could help in the academic planning of an institution for future years. With the emergence of data mining and deep learning, many predictor models were introduced by analyzing the previous year student’s dataset. This paper presents a literature survey on different placement prediction models for pre-final year engineering graduate students. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/16093 | |
| dc.language.iso | en | |
| dc.publisher | NHCE | |
| dc.title | Student placement prediction using Machine learning | |
| dc.type | Learning Object |