Current Feed Content
- 5 Useful Python Scripts to Automate Boring Everyday Tasks December 19, 2025Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity.Bala Priya C
- Prompt Engineering for Data Quality and Validation Checks December 18, 2025Prompt engineering is not just about asking models the right questions — it is about structuring those questions to think like a data auditor. When used correctly, it can make quality assurance faster, smarter, and far more adaptable than traditional scripts.Nahla Davies
- Hosting Language Models on a Budget December 18, 2025Learn how to run your own language model for free using lightweight models and Hugging Face Spaces.Nate Rosidi
- 5 Top AI-Powered App Builders December 18, 2025Take a tour of 5 of the most popular AI-powered app builders out there to leverage automation in the process of building software.Iván Palomares Carrascosa
- The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored) December 17, 2025The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business intends to compete in an AI-driven economy.KDnuggets
- How to Handle Large Datasets in Python Even If You’re a Beginner December 17, 2025You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you're a beginner.Bala Priya C
- 5 Data Privacy Stories from 2025 Every Analyst Should Know December 17, 2025In this article we look at 5 specific privacy stories from 2025 that changed how analysts work day to day, from the code they write to the reports they publish.Shittu Olumide
- 5 Workflow Automation Tools for All Professionals December 16, 2025Five powerful automation tools to help you streamline repetitive digital tasks, increase productivity, and create smarter workflows without requiring deep technical skills.Abid Ali Awan
- The Data Detox: Training Yourself for the Messy, Noisy, Real World December 15, 2025In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.Nate Rosidi
- How Transformers Think: The Information Flow That Makes Language Models Work December 15, 2025Let's uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text "word by word".Iván Palomares Carrascosa
KDnuggets
- 5 Useful Python Scripts to Automate Boring Everyday Tasks December 19, 2025Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity.Bala Priya C
- Prompt Engineering for Data Quality and Validation Checks December 18, 2025Prompt engineering is not just about asking models the right questions — it is about structuring those questions to think like a data auditor. When used correctly, it can make quality assurance faster, smarter, and far more adaptable than traditional scripts.Nahla Davies
- Hosting Language Models on a Budget December 18, 2025Learn how to run your own language model for free using lightweight models and Hugging Face Spaces.Nate Rosidi
- 5 Top AI-Powered App Builders December 18, 2025Take a tour of 5 of the most popular AI-powered app builders out there to leverage automation in the process of building software.Iván Palomares Carrascosa
- The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored) December 17, 2025The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business intends to compete in an AI-driven economy.KDnuggets
- How to Handle Large Datasets in Python Even If You’re a Beginner December 17, 2025You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you're a beginner.Bala Priya C
- 5 Data Privacy Stories from 2025 Every Analyst Should Know December 17, 2025In this article we look at 5 specific privacy stories from 2025 that changed how analysts work day to day, from the code they write to the reports they publish.Shittu Olumide
- 5 Workflow Automation Tools for All Professionals December 16, 2025Five powerful automation tools to help you streamline repetitive digital tasks, increase productivity, and create smarter workflows without requiring deep technical skills.Abid Ali Awan
- The Data Detox: Training Yourself for the Messy, Noisy, Real World December 15, 2025In this article, we’ll use a real-life data project to explore four practical steps for preparing to deal with messy, real-life datasets.Nate Rosidi
- How Transformers Think: The Information Flow That Makes Language Models Work December 15, 2025Let's uncover how transformer models sitting behind LLMs analyze input information like user prompts and how they generate coherent, meaningful, and relevant output text "word by word".Iván Palomares Carrascosa
The presentation is a Data Normalisation tutorial and provides an overview of the key stages of data normalisation, first normal form (removing repeating groups...