Data Science Tutorials

Learn about Artificial Immune Systems (AIS) and how they can be implemented in Python for tasks like anomaly detection and optimization.

From binary to nuance: explore how fuzzy logic powers intelligent AI systems and mimics human decision-making behavior.

Understand how to exploit SQL’s CASE statement to create categorical columns.

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.

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

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

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.