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Hands-On Data Science with R
Hands-On Data Science with R

Hands-On Data Science with R: Techniques to perform data manipulation and mining to build smart analytical models using R

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Profile Icon Dasgupta Profile Icon Bianchi Lanzetta Profile Icon Doug Ortiz Profile Icon Farias
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€8.99 €26.99
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (1 Ratings)
eBook Nov 2018 420 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
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Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Dasgupta Profile Icon Bianchi Lanzetta Profile Icon Doug Ortiz Profile Icon Farias
Arrow right icon
€8.99 €26.99
Full star icon Full star icon Full star icon Full star icon Empty star icon 4 (1 Ratings)
eBook Nov 2018 420 pages 1st Edition
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €26.99
Paperback
€32.99
Subscription
Free Trial
Renews at €18.99p/m

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Hands-On Data Science with R

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Key benefits

  • Explore the popular R packages for data science
  • Use R for efficient data mining, text analytics and feature engineering
  • Become a thorough data science professional with the help of hands-on examples and use-cases in R

Description

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.

Who is this book for?

If you are a data analyst, data engineer, statistician or an R programmer and aspiring to enter the field of machine learning and predictive analytics, then this is the right book to start your journey. Basic understanding of linear algebra/statistics would be beneficial and R programming would be required.

What you will learn

  • Understand the R programming language and its ecosystem of packages for data science
  • Obtain and clean your data before processing
  • Master essential exploratory techniques for summarizing data
  • Examine various machine learning prediction, models
  • Explore the H2O analytics platform in R for deep learning
  • Apply data mining techniques to available datasets
  • Work with interactive visualization packages in R
  • Integrate R with Spark and Hadoop for large-scale data analytics

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 30, 2018
Length: 420 pages
Edition : 1st
Language : English
ISBN-13 : 9781789135831
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What do you get with eBook?

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Product Details

Publication date : Nov 30, 2018
Length: 420 pages
Edition : 1st
Language : English
ISBN-13 : 9781789135831
Category :
Languages :
Concepts :
Tools :

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Table of Contents

15 Chapters
Getting Started with Data Science and R Chevron down icon Chevron up icon
Descriptive and Inferential Statistics Chevron down icon Chevron up icon
Data Wrangling with R Chevron down icon Chevron up icon
KDD, Data Mining, and Text Mining Chevron down icon Chevron up icon
Data Analysis with R Chevron down icon Chevron up icon
Machine Learning with R Chevron down icon Chevron up icon
Forecasting and ML App with R Chevron down icon Chevron up icon
Neural Networks and Deep Learning Chevron down icon Chevron up icon
Markovian in R Chevron down icon Chevron up icon
Visualizing Data Chevron down icon Chevron up icon
Going to Production with R Chevron down icon Chevron up icon
Large Scale Data Analytics with Hadoop Chevron down icon Chevron up icon
R on Cloud Chevron down icon Chevron up icon
The Road Ahead Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Frank E. Jul 25, 2020
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Praktisch en leerzaam boek.
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