Data Science Tutorials

Learn what OpenAI's ChatGPT tasks are, how to use them, and discover 10 practical use cases to automate and schedule your actions.

Discover how to master SQL subqueries to enhance your database queries. Learn about correlated, non-correlated, and recursive subqueries. Learn about execution order and how to combine SQL subqueries with other SQL features.

Learn about NVIDIA’s 3D mesh-generating model, LLaMA-Mesh, including its capabilities, limitations, setup instructions, and examples.

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

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

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

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.