From STAT 350 coursework to Python’s built-in statistics module, there’s a world of tools to help you understand data, probability, and inference. Whether you’re tackling descriptive stats, hypothesis ...

Python has become the go-to language for data analysis, automation, and machine learning thanks to its simplicity, versatility, and powerful libraries. From NumPy’s lightning-fast arrays to ...

Welcome to our tenth episode of the “Micro-economics” series! It is a short-form video series brought to you by the ABA Antitrust Section's Economics Committee. Each episode teaches a fundamental ...

The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. On Monday, Artificial Analysis, an ...

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ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...

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 ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

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 ...

Abstract: Air pollution poses a critical global health challenge requiring accurate prediction systems. This paper evaluates eleven machine learning models for air quality classification using the ...