Master AI-driven code mapping with this 4-step guide to navigating legacy projects. Turn complex code into clear diagrams and actionable documentation.

Do you over-rely on AI? Understand the risks of using AI for self-directed learning. Struggle productively. Reclaim your critical thinking.

Learn how to use regex pattern matching in Excel for advanced data cleaning, text extraction, and analysis.

Learn to build AI-powered apps using LLM APIs. This beginner’s guide covers prompt engineering, function calling, and creating custom AI tools.

Master advanced prompt engineering techniques like Chain-of-Thought, ReAct, and role-based prompting strategies to get smarter LLM responses

Learn why accuracy fails in imbalanced data. Master essential model evaluation metrics: Precision, Recall, and the F1 score for robust ML classification.

Master data visualization: use pre-attentive features, Gestalt theory, and proper visual data encoding to create clear, effective charts

Build a Strava heatmap using the Python API for custom GPS route visualization. Filter by type and date range for advanced data analysis.

Beginner’s guide to the Strava API with Python. Use OAuth2 for authorization and get activity data. Handle access tokens and usage limits.