These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

For the first time this century, the Blue Jays are officially back in the World Series. After defeating the Yankees in the American League Division Series, the Blue Jays returned to the American ...

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 ...

Enterprises are learning the hard way: Real-time data agility isn’t a luxury for AI. It’s the backbone of anything that actually works. AI keeps making headlines, with billion-dollar investments 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 ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

Objective: Construct a predictive model for rehabilitation outcomes in ischemic stroke patients 3 months post-stroke using resting state functional magnetic resonance imaging (fMRI) images, as well as ...

Join the University Libraries for our new Introduction to Python workshop series with Genevieve Milliken, data librarian, on September 18 and 25. This beginner-friendly, two-part workshop introduces ...

Abstract: Time series analysis has emerged as a critical tool across diverse fields such as finance, energy, healthcare, and environmental studies, enabling researchers to model and forecast temporal ...

This project explores retail chain performance in New Zealand by combining sales forecasting, regional sales analysis, and supply chain insights. Using real data and Python (including Prophet for ...

This project explores retail chain performance in New Zealand by combining sales forecasting, regional sales analysis, and supply chain insights. Using real data and Python (including Prophet for ...

Time-series data—measurements collected at regular intervals, like stock prices or traffic flows—has become a key driver of intelligent decision-making systems across industries. From medical ...