Data Science Tutorials

Discover how slicing can effortlessly extract, rearrange, and analyze your data. Harness negative indices, multi-dimensional slices, and advanced step values for full precision.

Learn how to build an image captioning app using Streamlit for the front end, Llama 3.2 90B for generating captions, and Groq as the API.

Learn how to fine-tune a multimodal model by Meta AI on the Amazon product dataset using the Unsloth framework.

Understand how to use SQL String Functions to clean and process text data efficiently.

Learn the basics of Azure Data Factory and build your first data pipeline with this step-by-step guide!

Learn to use DeepEval to create Pytest-like relevance tests, evaluate LLM outputs with the G-eval metric, and benchmark Qwen 2.5 using MMLU.

Discover how propensity scores help minimize confounding in observational research, with detailed applications in real-world studies.

Discover SQL transactions, their importance, and how to implement them for reliable database management.

Learn how to build an AI-powered code reviewer assistant using DeepSeek-V3 and Gradio.

Discover the fundamentals of Cartesian products in SQL. Learn when and how to use them effectively, and explore best practices to optimize performance.

Discover what cardinality means and how it impacts data processing, analysis, and machine learning. Learn about practical strategies and techniques for managing high cardinality, from data preprocessing to advanced optimization tools.

Discover how to leverage Databricks SQL for efficient data analytics, querying, and business intelligence with practical examples and best practices.