Data Science Tutorials

This beginner-friendly tutorial will guide you through the fundamentals of Metaflow. Learn how the framework simplifies building and scaling data science workflows.

Learn how to use pytest-mock, from setup and fundamentals to advanced techniques for practical testing.

Understand the core concepts of Self Organizing Maps and learn how to implement them in Python using MiniSom.

Learn how to build a multilingual code explanation app using Llama 3.3, Hugging Face, and Streamlit.

Learn how to use Google's Gemini 2.0 Flash model to develop a visual assistant capable of reading on-screen content and answering questions about it using Python.

Learn about the Qwen2.5-Coder series by building an AI code review assistant using Qwen 2.5-Coder-32B-Instruct and Gradio.

Explore the concept of heteroscedasticity and its implications in statistical modeling. Learn how to detect and address it. Discover techniques to improve your regression models.

Learn Object-Oriented Programming in Java with practical examples. Master classes, objects, inheritance, encapsulation, and abstract classes using a restaurant menu system.

Learn about the new Amazon Nova models (Micro, Lite, Pro, Premier, Canvas, Reel), how to access them through the Bedrock Playground and API, and how to build a demo multi-agent app.

Learn to build effective command-line interfaces in Python using the argparse module. This guide walks you through basic and advanced features, with practical examples and tips to improve your programming skills.

Master Python's f-strings, the most elegant way to handle string formatting in your code. This guide covers everything from basic syntax to advanced techniques. Learn how to write cleaner, more maintainable code with real-world examples.

Learn how Anthropic's contextual retrieval improves the accuracy of retrieval systems and how to implement it step-by-step.