Data Science Tutorials

Corrective RAG (CRAG) is a RAG technique that incorporates self-assessment of retrieved documents to improve the accuracy and relevance of generated responses.

Eigenvectors and eigenvalues are essential for understanding linear transformations. This article covers their geometric interpretation, mathematical calculation, and importance in machine learning.

LangGraph Studio is a visual development environment for LangChain’s LangGraph framework, simplifying the development of complex agentic applications built with LangChain components.

Learn how to use OpenAI o1 to build an end-to-end machine learning project from scratch using just one prompt.

Learn how Python automatically manages memory with reference counting and generational garbage collection, and understand how to manually control garbage collection using the gc module.

Explore how Euclidean distance bridges ancient geometry and modern algorithms, with coding examples in Python and R, and learn about its applications in data science, machine learning, and spatial analysis.

CrewAI is a platform that enables developers to build and deploy automated workflows using multiple AI agents that collaborate to perform complex tasks.

tqdm is a Python library that provides a fast, extensible progress bar for loops and iterables, making it easy to visualize the progress of your code.

Discover the mean shift clustering algorithm, its advantages, real-world applications, and step-by-step Python implementation. Compare it with K-means to understand key differences.

Learn how to get started with OpenAI Structured Outputs, understand its new syntax, and explore its key applications.

This tutorial explains the steps and best practices for creating a stacked bar chart using Tableau, from connecting data to creating the chart and making customizations!

Learn how to switch a branch in Git using git switch and understand the differences between git switch and git checkout.