Data Science Tutorials

Learn how to fine-tune LLMs on custom datasets, evaluate performance, and seamlessly export and serve models using the LLaMA-Factory's low/no-code framework.

Learn how to create, edit, delete, and implement hierarchies in Power BI.

Learn how to fine-tune TimeGPT, the first foundational model for time series datasets, for forecasting and anomaly detection with just a few lines of code.

Learn how to install Cursor AI on Windows, macOS, and Linux, and discover how to use it through 10 different use cases.

This article teaches you about numerical optimization, highlighting different techniques. It discusses Python packages such as SciPy, CVXPY, and Pyomo and provides a practical DataLab notebook to run code examples.

A database schema provides a comprehensive blueprint for the organization of data, detailing how tables, fields, and relationships are structured. Read to learn about the schema types, such as star, snowflake, and relational schemas.

LEFT JOIN and LEFT OUTER JOIN in SQL are identical, with no functional difference between them. Keep reading to explore practical examples and discover how to apply these joins effectively in your queries.

Understand and implement the Adam optimizer in Python. Learn the intuition, math, and practical applications in machine learning with PyTorch

RankGPT is a method that uses LLMs like ChatGPT to re-rank retrieved documents in RAG systems, improving the quality of the output by prioritizing the most relevant information.

Learn how to extract and format text position or delimiter using Excel substring functions, including LEFT(), RIGHT(), MID(), and more, with step-by-step instructions.

Learn how to create a contingency table and perform chi-square tests in R using the chisq.test() function. Discover practical applications and interpret results with confidence.

Learn how to compare two columns in Excel for matches and for duplicates using methods like the equals operator, IF() function, EXACT(), XLOOKUP(), and more.