Da: Ria Christie Collections, Uxbridge, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Unlock the full potential of R with 'Learn R for Data Science and Machine Learning: Build Data Models, Visualizations, and Analytics with R' by Greyson Chesterfield. This all-encompassing guide equips aspiring and experienced data scientists, analysts, and machine learning enthusiasts with the skills to harness the power of R for solving complex data challenges.
EUR 25,35
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Unlock the full potential of R with "Learn R for Data Science and Machine Learning: Build Data Models, Visualizations, and Analytics with R" by Greyson Chesterfield. This all-encompassing guide equips aspiring and experienced data scientists, analysts, and machine learning enthusiasts with the skills to harness the power of R for solving complex data challenges.This book offers a hands-on approach to data science, focusing on practical applications that transform data into actionable insights. Here's what you'll gain: Master Data Wrangling: Clean, organize, and manipulate data efficiently with R's robust libraries like dplyr and tidyr.Create Stunning Visualizations: Use ggplot2 and other visualization tools to communicate your findings with clarity and impact.Build Predictive Models: Explore regression, classification, and clustering techniques to solve real-world problems.Dive into Machine Learning: Leverage R's machine learning packages such as caret and randomForest to train and evaluate models.Tackle Big Data: Learn to process large datasets and perform scalable computations using R and related tools.With step-by-step tutorials, real-world examples, and expert tips, Greyson Chesterfield simplifies complex concepts, making them accessible to all readers. Whether you're looking to start your data science journey or enhance your skills, this book is your roadmap to success in the data-driven world.Elevate your career and turn data into decisions-grab your copy today and become a master in data science and machine learning with R! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 23,57
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Unlock the full potential of R with "Learn R for Data Science and Machine Learning: Build Data Models, Visualizations, and Analytics with R" by Greyson Chesterfield. This all-encompassing guide equips aspiring and experienced data scientists, analysts, and machine learning enthusiasts with the skills to harness the power of R for solving complex data challenges.This book offers a hands-on approach to data science, focusing on practical applications that transform data into actionable insights. Here's what you'll gain: Master Data Wrangling: Clean, organize, and manipulate data efficiently with R's robust libraries like dplyr and tidyr.Create Stunning Visualizations: Use ggplot2 and other visualization tools to communicate your findings with clarity and impact.Build Predictive Models: Explore regression, classification, and clustering techniques to solve real-world problems.Dive into Machine Learning: Leverage R's machine learning packages such as caret and randomForest to train and evaluate models.Tackle Big Data: Learn to process large datasets and perform scalable computations using R and related tools.With step-by-step tutorials, real-world examples, and expert tips, Greyson Chesterfield simplifies complex concepts, making them accessible to all readers. Whether you're looking to start your data science journey or enhance your skills, this book is your roadmap to success in the data-driven world.Elevate your career and turn data into decisions-grab your copy today and become a master in data science and machine learning with R! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: California Books, Miami, FL, U.S.A.
EUR 21,29
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Aggiungi al carrelloCondizione: New. Print on Demand.