Towards Data Science AI
The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel
Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss functions, optimization, g...
Drawing Shapes with the Python Turtle Module
A step-by-step tutorial that explores the Python Turtle Module
7 Pandas Performance Tricks Every Data Scientist Should Know
What I've learned about making Pandas faster after too many slow notebooks and frozen sessions
How Agent Handoffs Work in Multi-Agent Systems
Understanding how LLM-based agents transfer control to each other in a multi-agent system with LangGraph
The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel
DBSCAN shows how far we can go with a very simple idea: count how many neighbors live close to each point. It finds clusters...
How to Maximize Agentic Memory for Continual Learning
Learn how to become an effective engineer with continual learning LLMs
Don’t Build an ML Portfolio Without These Projects
What recruiters are looking for in machine learning portfolios
Optimizing PyTorch Model Inference on AWS Graviton
Tips for accelerating AI/ML on CPU — Part 2
The Machine Learning “Advent Calendar” Day 9: LOF in Excel
In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final L...
Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot
Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-searc...