A comparative analysis of ensemble autoML machine learning prediction accuracy of STEM student grade prediction
A multi-class classification prospective
About Yagyanath Rimal
I'm Yagyanath Rimal, a university teacher specializing in computer science. In addition to teaching C, C++, Java, and web applications at the bachelor's level, I also teach Research Methodology, Data Analytics, and Machine Learning to master's degree students. Currently, I am focusing on research in data analytics and machine learning. I've recently embarked on my journey in academia and am also interested in international collaborations and postdoctoral opportunities.
Popular Content
The accuracy of machine learning models relies on hyperparameter tuning
student result classification using random forest, randomized search, grid search, bayesian, genetic …
Hyperparameter optimization
a comparative machine learning model analysis for enhanced heart disease prediction accuracy
Machine learning model matters its accuracy
a comparative study of ensemble learning and automl using heart disease prediction
Ensemble Machine Learning One-Versus-Rest Multilevel Grade Classification and Prediction
Ensemble Machine Learning One-Versus-Rest Multilevel Grade Classification and Prediction
Ensemble Machine Learning Model Improves Prediction Accuracy for Academic Performance: A Comparative Study
of Default ML VS Boosting Algorithm
Data interpretation and visualization of COVID-19 cases using R programming
Data interpretation and visualization of COVID-19 cases using R programming
Hyperparameter determines the best learning curve on single
multi-layer and deep neural network of student grade prediction of Pokhara university Nepal
Recent Comments
Good Paper