Create Your Responsive Website with Zero CSS Coding. This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It’s an ultimate guide to explore areas like Deep Learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models. By the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications. This book provides an approach to the development of website and user interface components using Tailwind CSS. Begins with the introduction to HTML and CSS, which are foundation of website development. Then we explain concepts in Tailwind CSS and utilities available in it. Further we develop a simple website that comprises six webpages using Tailwind CSS, here we will not write single line of CSS directly, Tailwind CSS manages itself.