Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

Fundamental analysis studies financial and macroeconomic data to assess stock value. It includes both quantitative (numerals) and qualitative (industry status, economy) aspects. Long-term focus and ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Abstract: Multivariate statistical analysis is the use of mathematical models and statistical theory to study multivariate problems. Based on Bloom's cognitive theory, according to the learner's ...

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 ...

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: This study assessed the concentrations of cadmium (Cd), lead (Pb), and mercury (Hg) in surface sediments from seven lakes within the Urban Natural Reserve of Pikine Grande Niaye and ...