Welcome to mlxtend's documentation! Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. ML project is a collection of packages built to target the Bonsai-Rx ecosystem, providing reactive infrastructure for machine learning operations. Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced - data-flair/mach Feb 26, 2025 ยท Python machine learning scripts. Image augmentation is a quick way to improve accuracy for an image classification or object detection model without having to manually acquire more training images. W3Schools offers free online tutorials and references on web development languages such as HTML, CSS, JavaScript, PHP, SQL, and JQuery. For more info, please visit Azure Machine Learning CLI documentation. Build, push and pull. Explore Docker Desktop, what it has to offer, and its key features. In this article, we explore some of the best GitHub repositories for learning and applying ML concepts, categorized by skill level and focus area. Some of the practical applications you will learn from this book are how to: - Construct a simulated agent that plays games without any instructions, and watch it learn to play on databricks-ml-examples is a repository to show machine learning examples on Databricks platforms.