Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

To run the metrics that require a VLM, the default implementation uses OpenAI's GPT-4o, so you will need an OpenAI API key. (The demo below does not require this.) Create a .env file in the root ...

ABSTRACT: The present study aimed to investigate the relationship between metamemory, metacognition, and academic vitality with academic procrastination among students. This research was applied in ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

Students call it hypocritical. A senior at Northeastern University demanded her tuition back. But instructors say generative A.I. tools make them better at their jobs. By Kashmir Hill In February, ...

📊 Sales Data Analysis – Coffee Shop | Analyzing sales trends, payment methods, and top-selling drinks using Python (Pandas, Matplotlib, Seaborn).

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...