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A First Primer on Data Mining Analysing Your Bank Account Data

It should be now clear to you why R is worth investing your time in: it is a powerful language, plugin-ready, data visualization-friendly, and all the other adjectives you can derive from the previous chapter. Wouldn't it be great to taste a bit of all of those powerhouses?

That is what this chapter is all about—letting you experiment with discovering insights from your data with R.

We are going to do this with your own data, in particular, your banking data. We are going to discover and model your expenditure habits, employing the power of R. After reading this chapter, apart from being even more enthusiastic about reading the remaining chapters, you will be able to do the following:

Summarize your data with functions provided by dplyr
Answer questions regarding your finance habits...

Key benefits

Understand the basics of data mining and why R is a perfect tool for it.

Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it.

Apply effective data mining models to perform regression and classification tasks.

Description

R is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. It will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. While moving along the plot of the story you will effectively learn and practice on real data the various R packages commonly employed for this kind of tasks. You will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced Support Vector Machines. Unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. By the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data. Finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented R scripts and a practical set of data mining models cheat sheets.

What you will learn

Master relevant packages such as dplyr, ggplot2 and so on for data mining

Learn how to effectively organize a data mining project through the CRISP-DM methodology

Implement data cleaning and validation tasks to get your data ready for data mining activities

Execute Exploratory Data Analysis both the numerical and the graphical way

Develop simple and multiple regression models along with logistic regression

Apply basic ensemble learning techniques to join together results from different data mining models

Perform text mining analysis from unstructured pdf files and textual data

Produce reports to effectively communicate objectives, methods, and insights of your analyses

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Total $ 158.97 Stars icon

KRL Feb 11, 2018

Great description of classical methods but also a detailled presentation of sequence analysis. Cool 3D graphics tools. I recommend.

Amazon Verified review

Chris H Feb 03, 2018

There are countless books out there that attempt to start the reader along the learning curve with data science/machine learning tools. This is one of the very best that I have seen as an introduction to the field. It is exceedingly clear in its presentation and takes great care to explain why each step or manipulation is done.

R Data Mining: Implement data mining techniques through practical use cases and real-world datasets

What do you get with Print?

R Data Mining

A First Primer on Data Mining Analysing Your Bank Account Data

Acquiring and preparing your banking data

Data model

Summarizing your data with pivot-like tables

Visualizing your data with ggplot2

Basic data visualization principles

Further references

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R Data Mining: Implement data mining techniques through practical use cases and real-world datasets

What do you get with Print?

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Description

Who is this book for?

What you will learn

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What do you get with Print?

Product Details

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Table of Contents

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