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Predicting Employability and Admission for MS Students usin..:
, In:
2023 IEEE 8th International Conference for Convergence in Technology (I2CT)
,
Krishna Kireeti, G Sri
;
Prithvi, Jonnalagadda
;
Divya, Mangala
. - p. 1-8 , 2023
Link:
https://doi.org/10.1109/I2CT57861.2023.10126208
RT T1 <cTitle>2023 IEEE 8th International Conference for Convergence in Technology (I2CT)</cTitle>: T1 <Title>Predicting Employability and Admission for MS Students using ML Regression Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10126208&Exemplar=1&LAN=DE A1 Krishna Kireeti, G Sri A1 Prithvi, Jonnalagadda A1 Divya, Mangala A1 Kumari, Ch. Usha YR 2023 K1 Training K1 Support vector machines K1 Machine learning algorithms K1 Optimized production technology K1 Predictive models K1 Prediction algorithms K1 Regression tree analysis K1 Employability K1 admission K1 Support Vector Regression K1 Decision Tree K1 Gradient Boosting K1 Random Forest K1 Ridge Regression K1 streamlit SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/I2CT57861.2023.10126208 DO https://doi.org/10.1109/I2CT57861.2023.10126208 SF ELIB - SuUB Bremen
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