9798284319581 - introduction to data science with r: a hands-on guide to analyzing data and building models with r di blunt, booker (4 risultati)

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 21,67
EUR 4,90 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 21,60
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Condizione: New. Print on Demand.

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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 23,91
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Dive into the world of data science with R in this hands-on guide designed to take you through the core concepts of data analysis and model building. Whether you're new to data science or seeking to expand your skills, this book provides a clear and practical approach to analyzing real-worl…d datasets and creating data models using R.Through step-by-step examples, you'll learn how to clean, analyze, visualize, and interpret data. From building basic statistical models to applying machine learning techniques, this book covers it all, making it perfect for beginners.What you'll learn: Setting up R and RStudio for data science projectsImporting and cleaning data with dplyr, tidyr, and other R packagesVisualizing data using ggplot2 and other plotting toolsApplying statistical methods to analyze data trendsBuilding linear regression and classification modelsIntroduction to machine learning in R with caret and randomForestEvaluating model performance using cross-validation and confusion matricesHandling missing data and outliers effectivelyMaking predictions and interpreting model resultsExporting results and creating reports with RMarkdownBy the end of this book, you'll be ready to tackle data analysis and build predictive models with R, equipping you with the practical skills to solve real-world problems in data science.Perfect for beginners who want to get hands-on experience with data analysis and modeling in R. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,46
EUR 43,57 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Dive into the world of data science with R in this hands-on guide designed to take you through the core concepts of data analysis and model building. Whether you're new to data science or seeking to expand your skills, this book provides a clear and practical approach to analyzing real-worl…d datasets and creating data models using R.Through step-by-step examples, you'll learn how to clean, analyze, visualize, and interpret data. From building basic statistical models to applying machine learning techniques, this book covers it all, making it perfect for beginners.What you'll learn: Setting up R and RStudio for data science projectsImporting and cleaning data with dplyr, tidyr, and other R packagesVisualizing data using ggplot2 and other plotting toolsApplying statistical methods to analyze data trendsBuilding linear regression and classification modelsIntroduction to machine learning in R with caret and randomForestEvaluating model performance using cross-validation and confusion matricesHandling missing data and outliers effectivelyMaking predictions and interpreting model resultsExporting results and creating reports with RMarkdownBy the end of this book, you'll be ready to tackle data analysis and build predictive models with R, equipping you with the practical skills to solve real-world problems in data science.Perfect for beginners who want to get hands-on experience with data analysis and modeling in R. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.