Data Science Tutorials

Learn the first principles of Proximal Policy Optimization, including its implementation in PyTorch with Gymnasium!

Learn how third normal form (3NF) can help you organize your databases more efficiently by removing redundancy and minimizing dependency issues. See how decomposing tables can simplify data management.

Learn how to detect multicollinearity in regression models using the variance inflation factor (VIF), a key diagnostic tool. This tutorial explains how VIF is calculated, how to interpret its values, and techniques for addressing high VIF to improve the reliability of your regression modeling.

From ancient Egyptian builders to modern data science, discover how a^² + b^² = c^² revolutionized mathematics and continues to shape our technological world.

Learn how to fix Pandas' SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.

Learn how to set up PostgreSQL on macOS using Homebrew, a convenient package manager. Follow step-by-step instructions to install, configure, and start PostgreSQL services.

Discover how Q-Q plots are a useful visual method to assess normality. Compare observed data to a theoretical distribution like the normal distribution to highlight deviations. Learn to diagnose model fit.

Learn how to use Excel’s built-in features, formulas, and even Power Query to tackle duplicates, along with best practices and troubleshooting tips for handling complex datasets.

Learn how to manage dependencies and virtual environments for complex projects using Python Poetry.

Explore how you can identify duplicate entries in Excel using Conditional Formatting, the COUNTIF() formula, and Power Query. Learn best practices and troubleshoot issues.

Learn how to implement recursive retrieval in RAG systems using LlamaIndex to improve the accuracy and relevance of retrieved information, especially for large document collections.

Learn how to evaluate your LLM on code generation capabilities with the Hugging Face Evaluate library.