Abstract: Predictive models for student academic success are often hindered by class imbalance, particularly in identifying students at risk of dropping out. This study evaluates nine machine learning ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

ABSTRACT: Gliomas are the most cancerous tumors arising from the brain, accounting for approximately 78% of all primary brain tumors. The progression of malignant gliomas significantly reduces both ...

Devices really do help make learning more flexible, accessible and engaging. Christina Barreto Sixth grade, Yonkers, N.Y. Teachers are constantly competing with their Chromebooks for attention. Wesley ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Abstract: Class imbalance is a prevalent challenge in machine learning, particularly in domains like credit risk assessment, fraud detection, and medical diagnosis, where the minority class often ...

Thank you for the amazing work. I noticed the Subsampling for class imbalances article recommends subsampling to address class imbalances. Please, I would like to suggest adding a warning with a note ...

Students are more likely to be deeply engaged in learning a language when the work is connected to their interests. For those of us who were ourselves taught in the grammar age, it can be difficult to ...