Data balancing techniques for predicting student dropout using machine learning
N Mduma - Data, 2023 - mdpi.com
Predicting student dropout is a challenging problem in the education sector. This is due to
an imbalance in student dropout data, mainly because the number of registered students is …
an imbalance in student dropout data, mainly because the number of registered students is …
[PDF][PDF] Data Balancing Techniques for Predicting Student Dropout Using Machine Learning. Data 2023, 8, 49
N Mduma - 2023 - africa.ai4d.ai
Predicting student dropout is a challenging problem in the education sector. This is due to
an imbalance in student dropout data, mainly because the number of registered students is …
an imbalance in student dropout data, mainly because the number of registered students is …
Development of an embedded device for stroke prediction via artificial intelligence-based algorithms
MU Baloch, M Ahmad, R Ashraf… - … Conference on Frontiers …, 2022 - ieeexplore.ieee.org
The most significant cause of disability among the aged and the old is stroke, which causes
several social or financial challenges. A stroke may result in death if it is not addressed …
several social or financial challenges. A stroke may result in death if it is not addressed …