Data Science Tutorials

Discover how to enhance your data analysis with the Excel slicer. Learn advanced techniques to build dynamic dashboards and streamline your workflow.

Learn the basics of AWS Lambda, how to set up your first function, and how to integrate it with core AWS services for application serverless deployment.

Understand the basics of Reinforcement Learning (RL) and explore the Gymnasium software package to build and test RL algorithms using Python.

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

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

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

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.