Model Evaluation and Cross-Validation in Scikit-Learn: A Practical Tutorial
Learn how to properly evaluate machine learning models using train/test splits, cross-validation, and multiple metrics in scikit-learn
Tutorials
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Build an End-to-End ML Pipeline with Scikit-Learn (Step by Step)
Learn how to build a complete machine learning pipeline using Scikit-Learn. From raw data to a tuned model wrapped in a reusable Pipeline.
Build a Simple Tool-Using AI Agent with Memory (Step-by-Step Tutorial)
Learn to build an AI agent that can understand tasks, call tools like a to-do list, execute them, and remember state across turns
Deploying a Simple API on AWS Step by Step
Learn how to deploy a Node.js REST API to AWS Lambda and API Gateway. Start with code on your laptop and end with a real URL anyone can call.
Interactive Pathfinding: Dijkstra vs A* on a Grid
Learn how computers find the shortest path using Dijkstra's algorithm and A* search through interactive visualizations
Build a Tool-Using AI Agent: A Support Bot That Knows When to Ask for Help
Learn to build an AI support agent that answers questions, calls tools, and escalates to humans when uncertain
Build an Event-Driven Serverless Notification on the Cloud (File Upload → Email)
Learn how to build a serverless notification system that automatically sends emails when files are uploaded to cloud storage
From Sensor to Dashboard: A Hands-On Intro to IoT Data Flow
Learn how one sensor reading moves from a physical device to a cloud dashboard, using simple visuals and interactive examples
Beginners Guide to AIOT
Learn how Artificial Intelligence and Internet of Things work together to create smart, connected systems
Understanding RAG: Retrieval-Augmented Generation
Learn how RAG combines retrieval and generation for better AI responses through interactive examples