Docker makes data science workflows more consistent and portable. This guide breaks it down into five simple, practical steps.| KDnuggets
In this article, we will explore seven simple machine learning projects that will help you learn important skills and improve your career.| KDnuggets
Rust lets developers build fast and reliable data tools. This article shows how to use Rust’s features for high-performance data processing.| KDnuggets
Tired of starting/stopping different models every time you want to test something? Let Llama-Swap handle that for you.| KDnuggets
This article will provide you with a deep understanding of functional programming in Python, focusing on lambda functions and higher-order function concepts through detailed explanations and practical code examples.| KDnuggets
A practical guide to moving beyond proof-of-concepts to production-ready machine learning.| KDnuggets
Don’t take these Python built-ins lightly before you try them out!| KDnuggets
From August 25–31, DataCamp’s entire Python and AI curriculum is 100% free. No credit card required. Just unlimited learning.| KDnuggets
The most optimized way to run the GPT-OSS 20B model on RTX 3090 with llama.cpp and Open WebUI Python servers.| KDnuggets
Transform your data workflows with this comprehensive guide to building enterprise-grade automation pipelines using n8n's visual workflow platform.| KDnuggets
Not using Python for daily life? You're missing out on the best cheat codes for productivity.| KDnuggets
Data Science, Machine Learning, AI & Analytics| KDnuggets
CRISP-DM remains the most popular methodology for analytics, data mining, and data science projects, with 43% share in latest KDnuggets Poll, but a replacement for unmaintained CRISP-DM is long overdue.| KDnuggets