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 ...

This project explores transactional sales data from a grocery store using a combination of Python scripting and Power BI visualization. The primary goal is to identify the most frequently purchased ...

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 ...

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: Coherence analysis can be detect for coordination of EEG rhythms between brain areas. It could not reflect the dynamic properties changing with time. Coherence analysis is a method developed ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Optical coherence tomography (OCT) provides high-resolution intracoronary imaging. However, whether the addition of OCT to angiography to guide percutaneous coronary intervention (PCI) of complex ...

This repository contains a comprehensive data analysis project using Python, focusing on deriving insights from Quantium's datasets. The project includes data cleaning, exploratory data analysis (EDA) ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...