Data cleaning is a crucial yet challenging task in data analysis, often requiring significant manual effort. To automate data cleaning, previous systems have relied on statistical rules derived from ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

The way marketers use data is shifting fast, mainly because of privacy laws like GDPR and CCPA. Companies are under pressure to find new ways to analyze performance, target audiences and share data — ...

Data cleaning and validation PostgreSQL database design with proper normalization ETL pipeline with error handling and logging GDPR-compliant security framework ...

Modern consumer-facing organizations rely on collaborative, data-driven decisions to fuel their business—yet the challenge is to do so with a keen focus on ensuring sound, well-maintained, accessible ...

Have you ever stared at a chaotic spreadsheet, wondering how to make sense of the jumble of numbers, text, and inconsistent formatting? You’re not alone. Messy data is a universal frustration, whether ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...

Abstract: Python has become the de facto language for scientific computing. Programming in Python is highly productive, mainly due to its rich science-oriented software ecosystem built around the ...