Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

Abstract: The analysis of transaction data is often impeded by challenges such as noise, inconsistencies, high dimensionality, and missing values, which obscure valuable insights. Existing ...

This repository is a replication-focused adaptation of the EMNLP 2023 model for multimodal aphasia type detection, configured for a custom AphasiaBank-derived corpus.

Abstract: The rapid evolution of artificial intelligence (AI) has paved the way for substantial improvements in data science workflows, particularly in data preprocessing and feature selection. These ...

The "Data Science Ecosystem: A Comprehensive Guide" project explores the tools, techniques, and frameworks used in data science for transforming raw data into actionable insights. It provides an ...