Data Science Tutorials

Develop your data science skills with tutorials in our blog. We cover everything from intricate data visualizations in Tableau to version control features in Git.

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How to Use Qwen2.5-VL Locally

Learn about the new flagship vision-language model and run it on a laptop with 8GB VRAM.

Abid Ali Awan

February 3, 2025

Mean vs Median: Knowing the Difference

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

Samuel Shaibu

January 16, 2026

Python Lambda Functions: A Beginner’s Guide

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

Mark Pedigo

January 31, 2025

Implementing the Minimax Algorithm for AI in Python

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.

Bex Tuychiev

January 31, 2025

How to Set Up and Run DeepSeek R1 Locally With Ollama

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

Aashi Dutt

January 30, 2025

DeepSeek R1 Demo Project With Gradio and EasyOCR

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

Aashi Dutt

January 30, 2025

Getting Started with TorchRL for Deep Reinforcement Learning

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

Arun Nanda

January 29, 2025

Amazon Bedrock: A Complete Guide to Building AI Applications

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

Rahul Sharma

January 29, 2025

Mastering the Databricks API: Working with Data Pipelines at Scale

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