Abstract: The ability to accurately predict the house price is fundamental within the real estate sector as it provides useful information to potential buyers, sellers, investors, and policymakers.

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...

A 23 year old cyclist has completed a 25,000km ride from the UK to Australia, recreating the epic journey his dad made 40 years ago on the same model bike. Jamie Hargreaves followed the route across ...

Welcome to the Cyclingnews WorldTour bike and kit guide for 2026. This is our complete and comprehensive round-up of the bikes, components and tech used by the 18 men's UCI WorldTour Teams for the ...

Abstract: DNA-based data storage has emerged as a compelling alternative to traditional media due to its ultra-high information density and long-term stability. However, the high read cost caused by ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...