Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

This project performs Exploratory Data Analysis (EDA) on Fitbit datasets to explore user activity, sleep patterns, weight trends, and heart rate behavior. It helps visualize health insights through ...

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 ...

BXCL501 demonstrated a significant mean reduction in mCGI-S score from baseline compared to placebo at 2 hours across 2,433 treated episodes (p<.05) Complete resolution of agitation was significantly ...

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 ...

1 Division of Informatics, Clinical Epidemiology, Oregon Health and Science University, Portland, OR, United States 2 Fariborz Maseeh Department of Mathematics and Statistics, Portland State ...

This project is designed to demonstrate SQL skills and techniques typically used by data analysts to explore, clean, and analyze retail sales data. The project involves setting up a retail sales ...

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 ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...