Data Science Tutorials

Learn how first normal form (1NF) can improve your database design by enforcing atomicity in your tables.

Learn about Python abstract classes, their purpose, and how to use the `abc` module to enforce consistent interfaces. Includes practical examples and best practices for effective implementation.

Discover how to get started with AWS MSK, a managed Kafka service, in this beginner-friendly guide packed with practical tips and a comparison of top alternatives.

Discover the importance of dimensionality reduction, its techniques, and how to apply them to image datasets while visualizing and comparing data in lower-dimensional spaces.

Learn about GitOps, its importance, various approaches, and how to integrate it into an AI project.

Discover how the Fibonacci sequence works. Explore its mathematical properties and real-world applications.

Learn how to simplify the creation of AI agents with Hugging Face's new Python library, smolagents, and follow along with a demo project to see it in action.

Learn what OpenAI's ChatGPT tasks are, how to use them, and discover 10 practical use cases to automate and schedule your actions.

Discover how to master SQL subqueries to enhance your database queries. Learn about correlated, non-correlated, and recursive subqueries. Learn about execution order and how to combine SQL subqueries with other SQL features.

Learn about NVIDIA’s 3D mesh-generating model, LLaMA-Mesh, including its capabilities, limitations, setup instructions, and examples.

Learn about Artificial Immune Systems (AIS) and how they can be implemented in Python for tasks like anomaly detection and optimization.

Understand how to exploit SQL’s CASE statement to create categorical columns.