Tarek Amr Volgorde van de boeken

Explore the integration of scikit-learn with essential tools like NumPy, pandas, imbalanced-learn, and scikit-surprise to effectively tackle real-world machine learning challenges. This book provides practical insights and techniques, guiding readers through the application of these libraries to enhance their machine learning projects and improve data analysis skills. Ideal for those looking to deepen their understanding of machine learning implementations, it emphasizes hands-on problem-solving and real-world applications.

Your indispensable guide to mastering the efficient use of D3.js in professional-standard data visualization projects. You will learn what data visualization is, how to work with it, and how to think like a D3.js expert, both practically and theoretically. Practical D3.js does not just show you how to use D3.js, it teaches you how to think like a data scientist and work with the data in the real world. In Part One, you will learn about theories behind data visualization. In Part Two, you will learn how to use D3.js to create the best charts and layouts. Uniquely, this book intertwines the technical details of D3.js with practical topics such as data journalism and the use of open government data. Written by leading data scientists Tarek Amr and Rayna Stamboliyska, this book is your guide to using D3.js in the real world – add it to your library today. You Will Learn: How to think like a data scientist and present data in the best way What structure and design strategies you can use for compelling data visualization How to use data binding, animations and events, scales, and color pickers How to use shapes, path generators, arcs and polygons Who This Book is For: This book is for anyone who wants to learn to master the use of D3.js in a practical manner, while still learning the important theoretical aspects needed to enable them to work with their data in the best possible way.