I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...

This is a demo project for applying the concepts of federated learning (FL) in Python using socket programming by building and training machine learning (ML) models using FL. The ML model is trained ...

This repository is part of my Python learning journey using Replit and a free YouTube course.

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

YouTube said it plans to offer creators the ability to opt-out of the platform's recent enhancements to some Shorts after a handful of creators expressed concerns the subtle changes were being done ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...