SKU/Artículo: AMZ-B0G3T192DK
R Machine Learning Projects with tidymodels: Hands-On Regression, Classification & Clustering — Build, Evaluate & Deploy Models for Data Scientists (R programming)
Format:
Paperback
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Disponibilidad:
En stock
En stock
Peso con empaque:
0.59 kg
0.59 kg
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Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- R Machine Learning Projects with tidymodels is the essential hands-on guide for anyone who wants to move beyond theory and confidently build real machine learning solutions in R. This practical, project-driven book walks you through the full lifecycle of modern ML workflows using the powerful tidymodels ecosystem—helping you transform raw data into accurate, trustworthy, and well-explained models. Whether you're a beginner exploring machine learning for the first time or a growing analyst looking to sharpen your skills, this book gives you the clarity, structure, and confidence you need to succeed.Across a collection of real-world projects, you will learn exactly how to clean data, engineer features, train multiple models, evaluate performance, interpret results, and deploy predictions locally using R. Each chapter focuses on actionable and repeatable steps, ensuring you can apply what you learn immediately. By the end, you’ll understand how complete ML pipelines work, how to choose the right model for each problem, and how to communicate results with clarity and impact.What makes this book stand out is its practical, beginner-friendly approach. There are no shortcuts, no missing steps, and no assumptions about prior experience. Every concept is explained with clear language, real datasets, reproducible code, and visual guidance. You will build professional-grade workflows in classification, regression, clustering, model tuning, explainability, and deployment—skills that translate directly to data science jobs and real business scenarios.This book is written by Jed Currey, a skilled educator and practitioner known for creating highly accessible, results-oriented technical learning resources. His teaching style emphasizes clarity, credibility, and hands-on learning, giving readers the sense that every minute spent with the book moves them closer to real mastery.If you’re looking for a practical, modern, and complete introduction to machine learning with R—one that helps you build real solutions, understand how everything fits together, and accelerate your learning curve—this book was built for you.
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AR$62.717
44% OFF
AR$34.843
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