Data Science Tutorials

Explore the differences between mean and median, learn their applications in data analysis, and know how to choose the right measure for different scenarios.

Learn about Python lambda functions, their purpose, and when to use them. Includes practical examples and best practices for effective implementation.

Learn to code an unbeatable Tic-tac-toe AI using the Minimax algorithm in Python. This tutorial covers theory, implementation, and optimization, ideal for game AI enthusiasts.

Learn how to install, set up, and run DeepSeek-R1 locally with Ollama and build a simple RAG application.

In this DeepSeek-R1 tutorial, you'll learn how to build a math puzzle solver app by integrating DeepSeek-R1 with EasyOCR and Gradio.

A beginner-friendly guide to TorchRL for deep reinforcement learning—learn to build RL agents with PyTorch through practical examples.

Discover how to build generative AI applications using Amazon Bedrock. This step-by-step tutorial walks you through its features, setup, and optimization techniques.

Learn to use the Databricks REST API for job automation, cluster management, and integrations. Master best practices for security, performance, and scalability.

Learn how to set up the DeepSeek Janus-Pro project, build your own Docker image, and run the Janus web application locally on your laptop.

Learn to set up the AWS CLI on your system, configure it to work with your AWS account, and execute commands to interact with various AWS services!

Fine-tuning the world's first open-source reasoning model on the medical chain of thought dataset to build better AI doctors for the future.

Discover the fundamentals of the exponential distribution and its applications in real-world scenarios. Learn how to calculate probabilities and understand its significance in various fields. Explore practical examples and visualizations.