Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used for ...

Computer simulation is an important tool to illustrate important topics through critical thinking. This activity allows students to investigate the aspects of free radical vinyl polymerization. In the ...

However, cardiovascular detection is a technique that analyzes data and precisely diagnoses cardiovascular disease using machine learning algorithms. Early diagnosis may lead to better outcomes for ...

Example Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using Amazon SageMaker.

Discover how Pandas enhances machine learning data preprocessing with its powerful features for cleaning, transforming, and managing datasets.

In this paper, we employ machine learning to predict the performance of Jupyter notebook on JupyterHub. We show that the notebook's CPU profile, the notebook's RAM profile, number of users and average ...

In this article, we propose simple, interpretable machine learning (ML) features aimed at improving the accuracy of ML models in predicting adsorption of gases, such as methane, ethane, propane, ...