0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

R Data Mining

You're reading from R Data Mining Implement data mining techniques through practical use cases and real-world datasets

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781787124462

Length 442 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Mining

Author (1):

Andrea Cirillo

View More author details

Table of Contents (16) Chapters

Preface

1. Why to Choose R for Your Data Mining and Where to Start

2. A First Primer on Data Mining Analysing Your Bank Account Data FREE CHAPTER

3. The Data Mining Process - CRISP-DM Methodology

4. Keeping the House Clean – The Data Mining Architecture

5. How to Address a Data Mining Problem – Data Cleaning and Validation

6. Looking into Your Data Eyes – Exploratory Data Analysis

7. Our First Guess – a Linear Regression

8. A Gentle Introduction to Model Performance Evaluation

9. Don't Give up – Power up Your Regression Including Multiple Variables

10. A Different Outlook to Problems with Classification Models

11. The Final Clash – Random Forests and Ensemble Learning

12. Looking for the Culprit – Text Data Mining with R

13. Sharing Your Stories with Your Stakeholders through R Markdown

14. Epilogue

15. Dealing with Dates, Relative Paths and Functions

What you need for this book

You will easily be able to sail through the chapters by employing R and UNIX or Windows. The version used is R 3.4.0.

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Andrea Cirillo

Andrea Cirillo

Andrea Cirillo is currently working as an audit quantitative analyst at Intesa Sanpaolo Banking Group. He gained financial and external audit experience at Deloitte Touche Tohmatsu and internal audit experience at FNM, a listed Italian company. His main responsibilities involve the evaluation of credit risk management models and their enhancement, mainly within the field of the Basel III capital agreement. He is married to Francesca and is the father of Tommaso, Gianna, Zaccaria, and Filippo. Andrea has written and contributed to a few useful R packages such as updateR, ramazon, and paletteR, and regularly shares insightful advice and tutorials on R programming. His research and work mainly focus on the use of R in the fields of risk management and fraud detection, largely by modeling custom algorithms and developing interactive applications. Andrea has previously authored RStudio for R Statistical Computing Cookbook for Packt Publishing.

See other products by Andrea Cirillo

Other recommended products

Related to this chapter

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns.

May 2019 8h 52m

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns.

May 2019 8h 52m

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns.

May 2019 8h 52m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Advanced Analytics with R and Tableau

Advanced Analytics with R and Tableau

R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classification, clustering and best practices to visualize it using interactive dashboard with drop-downs, sliders, and other visual cues of Tableau. Get to know how R can be used in conjunction with Tableau and implement powerful machine learning techniques making big data analytics accessible and presentable through Tableau workbooks.

Aug 2017 5h 56m

Regression Analysis with R

Regression Analysis with R

Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.

Jan 2018 14h 4m

Regression Analysis with R

Regression Analysis with R

Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.

Jan 2018 14h 4m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m