Data Science Tutorials

Learn all about the Power BI REST API and how to implement it with examples.

Learn what cost functions are, and how and when to use them. Includes practical examples.

Learn to use Mem0 to add persistent memory to LLMs. Build a smart learning companion agent with custom filters and graph search in this step-by-step tutorial.

Understand how CFA tests theoretical models by linking observed indicators to latent constructs. Learn the steps, assumptions, and extensions that make CFA essential in measurement validation and structural equation modeling.

Learn how to stack security controls so that when one fails, others catch what slips through. This guide shows you which controls go where, and how to measure whether your defenses are working.

Learn how to use Google AI Studio's Chat, Build, and Stream modes to prototype with Gemini models.

Learn how to use Docker build secrets to handle sensitive data securely during image builds. Master secret mounts, SSH authentication, and CI/CD integration.

Discover how Docker Model Runner simplifies local LLM execution, enhances privacy, reduces costs, and integrates seamlessly with existing Docker tools.

Learn how to use Excel Solver to solve optimization problems with multiple constraints and decision variables. This guide covers setup, solving, and interpreting results with a practical example.

Master Python's map() function with practical examples. Learn syntax, lazy evaluation, and when to use map() vs. list comprehensions for memory-efficient code.

Learn how to fine-tune the Ministral 3 vision-language model for X-ray image classification using LoRA, Hugging Face tools, custom prompts, and TRL.

Learn how Python’s REPL lets you run code interactively for testing, debugging, and learning. Discover essential commands, customization options, and advanced alternatives.