-
Self-Hosted AI: A Complete Roadmap for Beginners
Build your own private AI hub with Docker, Ollama, and n8n. A beginner's guide to self-hosted, local automation with no cloud fees.
-
Claude Code Power Tips
Use Claude Code to speed up data science. Master data cleaning, visualization, and model prototyping with Python, pandas, and scikit-learn. Get actionable power tips.
-
Working with Billion-Row Datasets in Python (Using Vaex)
Analyze billion-row datasets in Python using Vaex. Learn how out-of-core processing, lazy evaluation, and memory mapping enable fast analytics at scale.
-
3 Ways to Anonymize and Protect User Data in Your ML Pipeline
By Shittu Olumide, Technical Content Specialist on January 27, 2026 in In this article, you will learn three practical ways to protect user data in real-world ML pipelines, with techniques that data scientists can implement directly in their workflows.
-
The KDnuggets ComfyUI Crash Course
This crash course will take you from a complete beginner to a confident ComfyUI user, walking you through every essential concept, feature, and practical example you need to master this powerful tool.
-
Integrating Rust and Python for Data Science
Python remains at the forefront data science, it is still very popular and useful till date. But on the other hand strengthens the foundation underneath. It becomes necessary where performance, memory control, and predictability become important.
-
Open Notebook: A True Open Source Private NotebookLM Alternative?
Open Notebook is an open-source, AI-powered platform designed to help users take, organize, and interact with notes while keeping full control over their data.
-
Google Antigravity: AI-First Development with This New IDE
Google Antigravity marks the beginning of the "agent-first" era, It isn't just a Copilot, it’s a platform where you stop being the typist and start being the architect.
-
How to Self-Host n8n on Docker in 5 Simple Steps
This tutorial will guide you through the complete process of self-hosting n8n on Docker in just 5 simple steps, with detailed explanations and code samples, regardless of your technical background.
-
The KDnuggets Gradio Crash Course
Build ML web apps in minutes with Gradio's Python framework. Create interactive demos for models with text, image, or audio inputs with no frontend skills needed. Deploy and share instantly.
|
