Data Science Tutorials

Learn what Dify is and how to build an AI travel agent using its low-code drag-and-drop interface.

Learn what Google Jules is and how to use it to automate real-world development tasks for your GitHub repository.

Explore the significance of the sigmoid function in neural networks and logistic regression, with practical insights for data science applications.

Learn how the SUBTOTAL() function dynamically summarizes filtered or grouped data. Understand its syntax, explore practical examples, and compare it with similar functions.

Discover XMATCH, a powerful Excel function to find the relative position of an item that matches a specified value.

The triangle inequality is more than just a geometric principle - it's a cornerstone of distance measures in data science. Discover how this elegant mathematical concept powers algorithms across computational geometry, optimization, and machine learning.

Say goodbye to complex nested IF() logic. Learn how to build readable formulas using the IFS() function instead.

Master Docker Compose for efficient multi-container application development. Learn best practices, scaling, orchestration, and real-world examples.

Learn why the #NAME? error occurs in Excel formulas and discover practical steps to troubleshoot, fix, and prevent it for smoother spreadsheet workflows.

Learn how to build an Android app that uses Google's Gemma 3n to answer questions about images directly on your phone, without needing a cloud connection.

Explore Claude Sonnet 4’s developer features—code execution, files API, and tool use—by building a Python-based math-solving agent.

Plan, build, test, and deploy a machine learning project from scratch using the Claude Opus 4 model with Claude Code.