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Showing 3 outstanding Python books published on

Effective XGBoost: Optimizing, Tuning, Understanding, and Deploying Classification Models (Treading on Python)

by Matt Harrison

"Effective XGBoost" is the ultimate guide to mastering the art of classification. Whether you're a seasoned data scientist or just starting out, this comprehensive book will take you from the basics of XGBoost to advanced techniques for optimizing, tuning, understanding, and deploying your models.
Published on : March 21, 2023
Python version: TH
220 pages

Learning Ray: Flexible Distributed Python for Machine Learning

by Max Pumperla

With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.
Published on : March 21, 2023
Python version: TH
271 pages

Robotics at Home with Raspberry Pi Pico

by Danny Staple

The field of robotics is expanding, and this is the perfect time to learn how to create robots at home for different purposes. This book will help you take your first steps in planning, building, and programming a robot with Raspberry Pi Pico, an impressive controller bursting with I/O capabilities.
Published on : March 17, 2023
Python version: TH
400 pages