Data Science Tutorials

Learn how Cursor rules guide AI coding, from defining project-level context and file-matching patterns to maintaining accurate, up-to-date rules over time.

The Laplacian operator is one of the most widely used mathematical tools in modern machine learning. It’s behind spectral clustering, manifold learning, image edge detection, and graph-based algorithms.

Learn what the Universal Commerce Protocol is, how it works, and how to build your first UCP server step by step.

Learn how correlated subqueries do row-by-row comparisons in SQL. Discover use cases and how they differ from JOINs, window functions, or non-correlated queries.

Learn how to fine-tune Qwen3.5-0.8B with QLoRA using a lightweight setup that delivers a strong boost in news classification performance.

Explore simple formulas, modern Excel functions, and newer AI tools to count words in Excel.

Learn Claude Code best practices from production teams. Use plan mode, CLAUDE.md files, and test-driven development to make the most of Claude's context window.

Learn how to use Claude Code’s Plan Mode to explore your codebase in read-only mode, surface questions, and review structured plans for multi-file changes.

Learn how to build clear and accurate waterfall charts in Excel using both built-in tools and manual methods. Explore useful variations such as stacked, dynamic, and vertical layouts.

Learn step-by-step methods to remove leading zeros from both numeric and text values in Excel.

Discover how to use Claude Code Router to connect to multiple providers, use the optimal LLM for every task, and reduce API cost without changing your workflow.

A practical introduction to differential equations covering core types, classification, analytical and numerical solution methods, and their real-world role in gradient descent, regression, and time series modeling.