Data Science Tutorials

A complete guide to coding best practices including DRY/SOLID principles, automated tooling, Git workflows, and responsible use of AI coding assistants.

Explore various types of data plots—from the most common to advanced and unconventional ones—what they show, when to use them, when to avoid them, and how to create and customize them in Python.

Explore data management with our SQL Server Tutorial. From basics to advanced usage, enhance your skills and navigate SQL Server with confidence.

Explore the nuances of AI moderation with our in-depth guide on utilizing ChatGPT for moderating responses in GPT-based applications.

Dive deep into the Contrastive Captioner (CoCa) model, an advanced image-text foundation model in machine learning.

Explore the functionalities of Weaviate, an open-source, real-time vector search engine, with our comprehensive beginner's guide.

Discover what MySQL is and how to get started in one of the most popular database management systems.

Learn how to run Alpaca-LoRA on your device with this comprehensive guide. Discover how this open-source model leverages LoRA technology to offer a powerful yet efficient AI chatbot solution.

This tutorial covers the basics of data pipelines and terminology for aspiring data professionals, including pipeline uses, common technology, and tips for pipeline building.

Learn how to use ggplot2 in R to create compelling visualizations of climate change data. This step-by-step tutorial teaches you to find, analyze, and visualize historical weather data.

Discover how Textacy, a Python library, simplifies text data preprocessing for machine learning. Learn about its unique features like character normalization and data masking, and see how it compares to other libraries like NLTK and spaCy.

This tutorial provides an introduction to causal AI using the DoWhy library in Python. It discusses fundamental principles and offers code examples.