Pre-requisites: Participants should be familiar with basic programming concepts, including variable assignment, data types, function calls, and installing packages or libraries. Introductory ...

Abstract: Imbalanced datasets are prevalent in various machine learning applications, especially in financial credit prediction data, where most of the examples represent financial credit. This ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

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 ...

Google is the latest company to suffer a data breach in an ongoing wave of Salesforce CRM data theft attacks conducted by the ShinyHunters extortion group. In June, Google warned that a threat actor ...

Florida’s Burmese python problem isn’t going away anytime soon. The researchers, snake trackers, and other conservationists working to remove the giant snakes will be the first to tell you that ...

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 ...

In many modern Python applications, especially those that handle incoming data (e.g., JSON payloads from an API), ensuring that the data is valid, complete, and properly typed is crucial. Pydantic is ...

Imagine a world where every business decision is powered by real-time AI insights, where synthetic data eliminates privacy concerns, and where your personal data becomes as valuable as currency.