Data Science Tutorials

Learn how to set up, configure, and optimize NGINX in Docker. This guide covers running containers, serving custom content, building images, setting up a reverse proxy, and using Docker Compose for efficient deployment.

Learn how to use Git Blame to track code changes, identify authors, and understand file history. This guide covers basic commands, advanced features, and integrations to enhance your debugging and collaboration skills.

Learn how to set up, configure, and optimize AWS DataSync. This step-by-step guide covers automation, security, and best practices.

Master the essentials of the git commit command and elevate your version control skills. Learn the basics of staging and committing changes, writing effective messages, and using advanced options.

Learn how to build a voice-to-voice assistant using OpenAI's latest audio models and streamline your workflow using the Agents API.

Get started using Git Large File Storage (LFS) in your own repositories to help manage sizeable binary files.

Master the art of visualizing data in Excel using histograms! This step-by-step guide will walk you through various methods, such as built-in charts, formulas, and the Analysis ToolPak, to help you analyze frequency distributions like a pro.

Discover how collaborative filtering powers recommendation systems in e-commerce, streaming, and more. Learn its types, benefits, challenges, and Python implementation.

Master alphabetizing in Excel with built-in tools and formulas. Learn to sort columns, rows, and entire datasets.

Fine-tune the new Gemma model using the finance reasoning dataset to improve its accuracy and adopt the style of the dataset.

Explore the determinant’s role in matrix operations, geometry, and computational methods, with step-by-step calculations in Python and R.

Learn what natural language processing (NLP) is and discover its real-world application, using Google BERT to process text datasets.